Image Processing Apparatus and Image Processing Method
First Claim
Patent Images
1. An image processing apparatus comprising;
- an image inputting unit configured to input a medical image having a plurality of color signals;
a determining unit configured to determine whether a biological mucosa is sufficiently captured in the inputted medical image or not; and
a controlling unit configured to control at least either displaying or storing of the medical image based on the determination result in the determining unit.
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Accused Products
Abstract
An image processing apparatus and an image processing method which can improve efficiency of observation by a user are provided. The image processing apparatus of the present invention includes an image inputting unit configured to input a medical image including a plurality of color signals; a determining unit configured to determine whether the biological mucosa is sufficiently captured in the inputted medical image or not; and a controlling unit configured to control at least either of display or storage of the medical image based on the determination result in the determining unit.
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Citations
76 Claims
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1. An image processing apparatus comprising;
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an image inputting unit configured to input a medical image having a plurality of color signals;
a determining unit configured to determine whether a biological mucosa is sufficiently captured in the inputted medical image or not; and
a controlling unit configured to control at least either displaying or storing of the medical image based on the determination result in the determining unit. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An image processing apparatus including:
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an image inputting unit configured to input a plurality of medical images including a plurality of color signals;
an area setting unit configured to set a plurality of areas for the inputted medical images;
a detecting unit configured to detect an area which is suspected to have a lesion from the plurality of areas;
an area determining unit configured to determine whether the plurality of areas set by the area setting unit are areas in each of which a biological mucosa is captured or not; and
a detection result determining unit configured to determine whether a detection result by the detecting unit is right or wrong based on the determination result in the area determining unit. - View Dependent Claims (12, 13, 14, 15)
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16. An image processing apparatus including:
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an image inputting unit configured to input a plurality of medical images captured serially in time order;
an area setting unit configured to set a plurality of areas in the medical image;
a determining unit configured to determine an object of image capturing in the plurality of areas set by the area setting unit;
an identifying unit configured to identify an organ whose image is captured in the medical image based on a determination result of the determining unit; and
an identification result displaying unit configured to display an identification result by the identifying unit. - View Dependent Claims (17, 18, 19, 20, 21, 22)
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23. An image processing apparatus includes:
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an image signal inputting unit configured to input an image signal based on an image captured by a medical appliance having an image capturing function;
an image dividing unit configured to divide an image captured by the medical appliance into a plurality of areas based on the image signals inputted by the image signal inputting unit;
a feature value calculating unit configured to calculate one or more feature values in each of the plurality of areas divided by the image dividing unit;
a first area classifying unit configured to classify the plurality of areas into any of the plurality of classes based on the feature value calculated by the feature value calculating unit and a predetermined first classifying criterion;
a classifying criterion setting unit configured to set a second classifying criterion based on the feature value and the classification result by the first area classifying unit; and
a second area classifying unit configured to classify the plurality of areas into any of the plurality of classes based on the feature value and the second classifying criterion. - View Dependent Claims (24, 25)
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26. An image processing apparatus including:
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an image signal inputting unit configured to input an image signal based on an image captured by a medical appliance having an image capturing function;
an image dividing unit configured to divide an image captured by the medical appliance into a plurality of areas based on the image signal inputted by the image signal inputting unit;
a feature value calculating unit configured to calculate one or more feature values in each of the plurality of areas divided by the image dividing unit;
a first area classifying unit configured to classify the plurality of areas into any of the plurality of classes based on the feature value calculated by the feature value calculating unit and a predetermined first classifying criterion;
an evaluated value calculating unit configured to evaluate the classification result by the first area classifying unit of one area among the plurality of areas by calculating an evaluated value based on the classification result by the first area classifying unit of the area placed near the one area; and
a second area classifying unit configured to classify the one area into any of the plurality of classes based on the evaluated value in the evaluated value calculating unit. - View Dependent Claims (27)
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28. An image processing apparatus including:
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an image signal inputting unit configured to input an image signal based on an image captured by a medical appliance having an image capturing function;
an image dividing unit configured to divide an image captured by the medical appliance into a plurality of areas based on the image signal inputted by the image signal inputting unit;
a feature value calculating unit configured to calculate one or more feature values in each of the plurality of areas divided by the image dividing unit;
a notice area setting unit configured to set one area among the plurality of areas as a notice area;
a close circumference area detecting unit configured to detect a close circumference area which is an area at a predetermined distance from the notice area;
an approximately round shape detecting unit configured to detect the presence of at least a part of a contour part of the approximately round shape based on the feature value in the close circumference area; and
an area extracting unit configured to extract the notice area, if the approximately round shape is detected by the approximately round shape detecting unit. - View Dependent Claims (29, 30, 31, 32)
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33. An image processing apparatus including:
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an image signal inputting unit configured to input an image signal based on an image captured by a medical appliance having an image capturing function;
an image dividing unit configured to divide an image captured by the medical appliance into a plurality of areas based on the image signal inputted by the image signal inputting unit;
a feature value calculating unit configured to calculate one or more feature values in each of the plurality of areas divided by the image dividing unit;
an area classifying unit configured to classify each of the plurality of areas into any of a plurality of classes based on the feature value calculated at the feature value calculating unit and a predetermined classifying criterion;
an area detecting unit configured to detect an area classified into a predetermined class previously set as a class having a structurally definite feature among the plurality of classes from the plurality of areas; and
a classifying criterion setting unit configured to set the predetermined classifying criterion in the area classifying unit based on the feature value of the area detected in the area detecting unit. - View Dependent Claims (34, 35)
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36. An image processing method including:
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an image inputting step for inputting an image captured by a medical appliance having an image capturing function;
an area dividing step for dividing the image into a plurality of areas;
a feature value calculating step for calculating one or more feature values from each of the plurality of areas; and
an area classifying step for classifying each of the plurality of areas into either an area in which a surface of a biological mucosa is captured or an area in which a non-biological mucosa is captured based on the feature value. - View Dependent Claims (40, 43, 46)
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37. An image processing method including:
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an image inputting step for inputting an image captured by a medical appliance having an image capturing function;
an area dividing step for dividing the image into a plurality of areas;
a feature value calculating step for calculating one or more feature values from each of the plurality of areas; and
an area classifying step for classifying each area of the plurality of areas into any one of a plurality of different classes based on the feature value;
wherein the area classifying step classifies each area of the plurality of areas into any of an area in which a surface of a biological mucosa is captured, an area in which a non-biological mucosa is captured, and an area which is neither the surface of the biological mucosa nor the non-biological mucosa. - View Dependent Claims (41, 44, 47)
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38. An image processing method including:
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an image inputting step for inputting an image captured by a medical appliance having an image capturing function;
an area dividing step for dividing the image into a plurality of areas;
a feature value calculating step for calculating one or more feature values from each of the plurality of areas;
an area classifying step for classifying each area of the plurality of areas into any one class among a plurality of different classes based on the feature value;
an excluded class setting step for setting combinations of excluded classes which are not permitted to be mixed on the image in the plurality of different classes; and
a preferential class setting step for setting which class is to be preferred among the combinations of the excluded classes;
wherein if an area classified into any class of the combinations of the excluded classes set at the excluded class setting step is present, the area classifying step classifies the area into a class set at the preferential class setting step. - View Dependent Claims (39, 42, 45, 48)
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49. An image processing method including:
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an image inputting step for inputting an image captured by a medical appliance having an image capturing function;
an area dividing step for dividing the image into a plurality of areas;
a feature value calculating step for calculating one or more feature values in each of the plurality of areas;
an area classifying step for identifying which class of a plurality of classes each of the plurality of areas belongs to based on the feature value and classifying each of the plurality of areas by the identification result; and
an image-captured organ estimating step for estimating an organ whose image is captured by the medical appliance based on the classification result at the area classifying step. - View Dependent Claims (50, 51, 52, 53, 54, 55)
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56. An image processing method including:
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an image dividing step for dividing the image captured by the medical appliance into a plurality of areas based on the image signal inputted at the image signals inputting unit configured to input an image signal according to an image captured by the medical appliance having an image capturing function;
a feature value calculating step for calculating one or more feature values in each of a plurality of areas divided at the image dividing step;
a first area classifying step for classifying each of the plurality of areas into any of a plurality of classes based on the feature value calculated at the feature value calculating step and a predetermined first classifying criterion;
a classifying criterion setting step for setting a second classifying criterion based on the feature value and the classification result at the first area classifying step; and
a second area classifying step for classifying each of the plurality of areas into any of the plurality of classes based on the feature value and the second classifying criterion. - View Dependent Claims (57, 58)
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59. An image processing method including:
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an image dividing step for dividing the image captured by the medical appliance into a plurality of areas based on the image signal inputted by the image signal inputting unit configured to input an image signal according to an image captured by the medical appliance having an image capturing function;
a feature value calculating step for calculating one or more feature values in each of a plurality of areas divided at the image dividing step;
a first area classifying step for classifying each of the plurality of areas into any of a plurality of classes based on the feature value calculated at the feature value calculating step and a predetermined first classifying criterion;
an evaluated value calculating step for evaluating the classification result at the first area classifying step of one area among the plurality of areas by calculating an evaluated value based on the classification result at the first area classifying step of the area placed near the one area; and
a second area classifying step for classifying the one area into any of the plurality of classes based on the evaluated value at the evaluated value calculating step. - View Dependent Claims (60)
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61. An image processing method including:
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an image dividing step for dividing the image captured by the medical appliance into a plurality of areas based on the image signal inputted at the image signals inputting unit configured to input an image signal according to an image captured by the medical appliance having an image capturing function;
a feature value calculating step for calculating one or more feature values in each of the plurality of areas divided at the image dividing step;
a notice area setting step for setting an area among the plurality of areas as a notice area;
a close circumference area detecting step for detecting a close circumference area which is an area at a predetermined distance from the notice area;
an approximately round shape detecting step for detecting a presence of at least a part of a contour part of the approximately round shape based on the feature value in the close circumference area; and
an area extracting step for extracting the notice area, if the approximately round shape is detected at the approximately round shape detecting step. - View Dependent Claims (62, 63, 64, 65)
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66. An image processing method including:
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an image dividing step for dividing the image captured by the medical appliance into a plurality of areas based on the image signal inputted by the image signal inputting unit configured to input an image signal according to an image captured by the medical appliance having an image capturing function;
a feature value calculating step for calculating one or more feature values in each of the plurality of areas divided at the image dividing step;
an area classifying step for classifying each of the plurality of areas into any of a plurality of classes based on the feature value calculated at the feature value calculating step and a predetermined classifying criterion;
an area detecting step for detecting an area classified into a predetermined class previously set as a class having a structurally definite feature among the plurality of classes from the plurality of areas; and
a classifying criterion setting step for setting the predetermined classifying criterion at the area classifying step based on the feature value of the area detected at the area detecting step. - View Dependent Claims (67, 68)
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69. An image processing method including:
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inputting an image captured by a medical appliance;
dividing the image into a plurality of areas;
calculating one or more feature values from each of the plurality of areas; and
classifying each of the plurality of areas into either an area in which a surface of a biological mucosa is captured or an area in which a non-biological mucosa is captured based on the feature value.
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70. An image processing method including:
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inputting an image captured by a medical appliance;
dividing the image into a plurality of areas;
calculating one or more feature values from each of the plurality of areas; and
classifying each area of the plurality of areas into any one class among a plurality of different classes based on the feature value and classifying each area of the plurality of areas into any of an area in which a surface of a biological mucosa is captured, an area in which a non-biological mucosa is captured, and an area which is neither the surface of the biological mucosa nor the non-biological mucosa.
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71. An image processing method including:
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inputting an image captured by a medical appliance;
dividing the image into a plurality of areas;
calculating one or more feature values from each of the plurality of areas;
classifying each area of the plurality of areas into any one class among a plurality of different classes based on the feature value;
setting combinations of excluded classes which are not permitted to be mixed on the image in the plurality of different classes;
setting one class to be preferentially classified among the combinations of the excluded classes; and
classifying the area into the one class, if an area classified into any class of the combinations of the excluded classes is present.
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72. An image processing method including:
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inputting an image captured by a medical appliance;
dividing the image into a plurality of areas;
calculating one or more feature values in each of the plurality of areas;
identifying which class of a plurality of classes each of the plurality of areas belongs to based on the feature value and classifying each of the plurality of areas by the identification result; and
estimating an organ whose image is captured by the medical appliance based on the classification result.
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73. An image processing method including:
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dividing the image captured by the medical appliance into a plurality of areas based on the image signal inputted at an image signals inputting unit configured to input an image signal according to an image captured by a medical appliance;
calculating one or more feature values in each of a plurality of areas;
classifying each of the plurality of areas into any of a plurality of classes based on the feature value and a predetermined first classifying criterion;
setting a second classifying criterion based on the feature value and the classification result; and
classifying each of the plurality of areas into any of the plurality of classes based on the feature value and the second classifying criterion.
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74. An image processing method including:
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inputting an image signal according to an image captured by a medical appliance and dividing the image captured by the medical appliance into a plurality of areas based on the image signal;
calculating one or more feature values in each of a plurality of areas;
classifying each of the plurality of areas into any of a plurality of classes based on the feature value and a predetermined first classifying criterion;
evaluating the classification result of one area among the plurality of areas by calculating an evaluated value based on the classification result of the area placed near the one area; and
classifying the one area into any of the plurality of classes based on the evaluated value.
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75. An image processing method including:
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inputting an image signal according to an image captured by a medical appliance and dividing the image captured by the medical appliance into a plurality of areas based on the image signal;
calculating one or more feature values in each of the plurality of areas;
setting an area among the plurality of areas as a notice area;
detecting a close circumference area which is an area at a predetermined distance from the notice area;
detecting a presence of at least a part of a contour part of the approximately round shape based on the feature value in the close circumference area; and
extracting the notice area, if the approximately round shape is detected.
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76. An image processing method including:
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inputting an image signal according to an image captured by a medical appliance and dividing the image captured by the medical appliance into a plurality of areas based on the image signal;
calculating one or more feature values in each of the plurality of areas;
classifying each of the plurality of areas into any of a plurality of classes based on the feature value and a predetermined classifying criterion;
detecting an area group classified into a predetermined class previously set as a class having a structurally definite feature among the plurality of classes from the plurality of areas; and
setting the predetermined classifying criterion based on the feature value of the area group.
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Specification