Content based image retrieval
First Claim
1. A method for content based image retrieval, the method comprising:
- selecting a query image;
segmenting the selected image by applying a segmentation technique;
extracting features from the segmented image by determining at least two feature descriptors, including a color feature descriptor and a texture feature descriptor; and
determining, using the determined at least two feature descriptors of the segmented query image, a similarity of the query image to a plurality of images included in a database, which also include features extracted and computed by said at least two descriptors,the method being characterized in that the determined color feature descriptor and texture feature descriptor comprise global and local statistical measurements of at least the mean and variance of the numerical values for each of three color channels of each one of at least three different color spaces.
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Abstract
A method and non-transitory computer readable medium for content based image retrieval. The method includes selecting a query image, segmenting the selected query image by applying a segmentation technique, extracting features from the segmented query image by determining at least two feature descriptors, including color feature descriptors and texture feature descriptors, and determining a similarity of the query image to a plurality of images included in a database using the determined at least two feature descriptors of the segmented query image, features being extracted from each of the plurality of images included in the database by determining the at least two feature descriptors, the color feature descriptors and the texture feature descriptors including a simultaneous combination of different color spaces, and global and local statistical measurements being carried out on the simultaneous combination of the different color spaces.
25 Citations
24 Claims
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1. A method for content based image retrieval, the method comprising:
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selecting a query image; segmenting the selected image by applying a segmentation technique; extracting features from the segmented image by determining at least two feature descriptors, including a color feature descriptor and a texture feature descriptor; and
determining, using the determined at least two feature descriptors of the segmented query image, a similarity of the query image to a plurality of images included in a database, which also include features extracted and computed by said at least two descriptors,the method being characterized in that the determined color feature descriptor and texture feature descriptor comprise global and local statistical measurements of at least the mean and variance of the numerical values for each of three color channels of each one of at least three different color spaces. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A non-transitory computer readable medium storing a program causing a computer to execute a method for content based image retrieval, the method comprising:
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selecting a query image; segmenting the selected query image by applying a segmentation technique; extracting features from the segmented query image by determining at least two feature descriptors, including a color feature descriptor and a texture feature descriptor; and determining, using the determined at least two feature descriptors of the segmented query image, a similarity of the query image to a plurality of images included in a database, which also include features extracted and computed by said at least two descriptors, wherein the determined color feature descriptor and texture feature descriptor comprise global and local statistical measurements of at least the mean and variance of the numerical values for each of three color channels of each one of at least three different color spaces. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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Specification