Method and system for detecting and classifying objects in images, such as insects and other arthropods
First Claim
1. An apparatus comprising:
- an input device coupled to receive a digital image; and
a detector, coupled to the input device, that detects an object in the image;
a histogram generator coupled to receive object image information from the detector, that generates a first object-image histogram based at least in part on image information of the detected object, wherein the first object-image histogram has a plurality of bins, each one of the plurality of bins located on;
a row corresponding to a value of a first color-space dimension, anda column corresponding to a value of a second color-space dimension; and
a classifier that classifies the object based on the first image-object histogram and provides a categorization identifier based on the classification.
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Abstract
A color-based imaging system and method for the detection and classification of insects and other arthropods are described, including devices for counting arthropods and providing taxonomic capabilities useful for pest-management. Some embodiments include an image sensor (for example, a digital color camera, scanner or a video camera) with optional illumination that communicates with a computer system. Some embodiments include a color scanner connected to a computer. Sampled arthropods are put on a scanner to be counted and identified. The computer captures images from the scanner, adjusts scanner settings, and processes the acquired images to detect and identify the arthropods. Other embodiments include a trapping device and a digital camera connected by cable or wireless communications to the computer. Some devices include a processor to do the detection and identification in the field, or the field system can send the images to a centralized host computer for detection and identification.
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Citations
22 Claims
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1. An apparatus comprising:
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an input device coupled to receive a digital image; and a detector, coupled to the input device, that detects an object in the image; a histogram generator coupled to receive object image information from the detector, that generates a first object-image histogram based at least in part on image information of the detected object, wherein the first object-image histogram has a plurality of bins, each one of the plurality of bins located on; a row corresponding to a value of a first color-space dimension, and a column corresponding to a value of a second color-space dimension; and a classifier that classifies the object based on the first image-object histogram and provides a categorization identifier based on the classification. - View Dependent Claims (2, 3, 4, 5)
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6. An apparatus comprising:
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an input device coupled to receive a digital image; and a detector, coupled to the input device, that detects an object in the image; a histogram generator, coupled to receive object image information from the detector, that generates object-image-histogram information based at least in part on image information of the detected object; a classifier that classifies the object based on the object-image-histogram information and provides a categorization identifier based on the classification; and a distinguisher that distinguishes a first arthropod in the detected object from a second item in the detected object, in digital images where the detected object includes the first arthropod at least partially overlapped with the second item, using image information selected from a group consisting of luminance, hue, color-saturation information and combinations thereof.
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7. An apparatus comprising:
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an input device coupled to receive a digital image; and a detector, coupled to the input device, that detects an object in the image; a histogram generator, coupled to receive object image information from the detector, that generates object-image-histogram information based at least in part on image information of the detected object; a classifier that classifies the object based on the object-image-histogram information and provides a categorization identifier based on the classification; and a imagable surface having at least one sticky area for capturing arthropods and having at least one colored area for calibrating colors of the image.
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8. A machine-implemented method comprising:
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acquiring a digital image; detecting a first arthropod object in the image; and generating first-object histogram information based at least in part on color information of the detected first object; and classifying a type of the first object based on the first-object histogram information and generating a categorization identifier based on the classifying. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. An apparatus comprising:
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an input device coupled to receive a digital image; means for detecting a first arthropod object in the image and distinguishing the first object from a background image using image information selected from a group consisting of luminance, hue, color-saturation information and combinations thereof; and means for classifying the detected first arthropod object that includes generating a histogram having a plurality of independent dimensions including at least a first dimension and a second dimension. - View Dependent Claims (20, 21, 22)
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Specification