Method for picking-up gray-scaled images of fruit flies

An extraction method and image technology, applied in image analysis, image data processing, eye testing equipment, etc., can solve problems such as time-consuming and laborious, inaccurate judgment, large amount of calculation, etc., to reduce information redundancy, improve system efficiency, The effect of small correlation
CN101091649AInactive Publication Date: 2007-12-26CENT SOUTH UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CENT SOUTH UNIV
Publication Date
2007-12-26
Estimated Expiration
Not applicable · inactive patent

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Abstract

The present invention relates to a method for extracting fruit fly compound eye gray level image. It is characterized by that said invention utilizes chrominance H in HSV color space and chromatic aberration DNGR value to make extraction of fruit fly compound eye object. Said invention provides the calculation formula of H and calculation formula of chromatic aberration DNGR value. Said invention adopts chromatic aberration DNGR and chrominance H to extract fruit fly compound eye, and can reduce information redundancy and can raise system efficiency.
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Description

technical field

[0001] The invention belongs to a method for image diagnosis and recognition, in particular to a grayscale image extraction method for fruit fly compound eyes. technical background

[0002] Studies have shown that nervous system lesions, gene mutations, and visual impairments in Drosophila will all cause compound eye lesions in Drosophila. To analyze the compound eye lesions of fruit flies, it is necessary to take pictures of the compound eyes first, and analyze and judge according to the images, so as to draw the conclusion whether the eyes of the fruit flies are lesions. At present, the judgment of the compound eye lesions of fruit flies relies on researchers to grab one by one with tweezers and observe them with the naked eye under a stereo microscope. This method has many shortcomings: inaccurate judgment, time-consuming and laborious, and low efficiency. Therefore, it is of great practical significance to design an automatic diagnosis system for fruit f...

Claims

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