Image recognition diagnosis method for fruit fly compound eye disease

A technology of image recognition and diagnosis method, which is applied in diagnosis, image analysis, image data processing, etc. It can solve the problems of large amount of calculation, low efficiency, and difficulty in determining the number of segmented regions N, and achieve the effect of accurate diagnosis

Inactive Publication Date: 2007-07-18
CENT SOUTH UNIV
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Problems solved by technology

However, at present, the judgment of the compound eye lesions of fruit flies relies on researchers to use tweezers to grab one by one and put them under a stereo microscope to observe with the naked eye. This method has many shortcomings: inaccurate judgment, time-consuming and laborious, and low efficiency.
However, the analysis found that this method has great defects: the mean and variance of normal fruit flies are not easy to determine, because the color of the compound eyes is quite different and the size of the compound eyes is not the same due to the different species of fruit flies; the lesion area cannot be accurately marked, and it is not easy Statistical lesion area and proportion; the num

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  • Image recognition diagnosis method for fruit fly compound eye disease
  • Image recognition diagnosis method for fruit fly compound eye disease

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[0043] After the compound eye images of Drosophila were collected, in order to improve the correct diagnosis and recognition rate of Drosophila compound eye disease, the collected images were preprocessed: on the one hand, the image was smoothed and denoised to reduce and remove the influence of noise. The value filtering method is used to smooth and denoise the image; on the other hand, it is beneficial to the extraction of the compound eye target of Drosophila.

[0044]Median filtering of images can not only preserve image edges but also remove noise. If a pixel is noise, its grayscale will be much larger or smaller than the grayscale of pixels in its neighborhood. When filtering and sorting, it will be located at the beginning or end of the sequence, and the grayscale of the pixel after filtering It becomes the gray intermediate value in its neighborhood, so that the pixel is smoothed and the noise is removed. For image edge pixels, its grayscale will be much larger or sma...

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Abstract

An image recognizing and diagnosing method for the oculus disease of fruit fly includes such steps as acquiring the oculus image of fruit fly, smoothing the image for removing noise, intensifying the image by non-linear logarithmic transformation, dividing the grayscale threshold of grayscale image (including dividing threshold and dividing pixels), screening the target image by area screening method to obtain binary target image, and judging the oculus disease.

Description

technical field [0001] The invention belongs to an image recognition and diagnosis method, in particular to a recognition and diagnosis method for fruit fly compound eye images. technical background [0002] The study of compound eye lesions in Drosophila has extremely important guiding significance for human neurology, genetics and the treatment of major human diseases. Studies have shown that nervous system lesions, gene mutations, and visual impairments in Drosophila will all cause compound eye lesions in Drosophila. However, at present, the judgment of the compound eye lesions of fruit flies relies on researchers to use tweezers to grab one by one and put them under a stereo microscope to observe with the naked eye. This method has many shortcomings: inaccurate judgment, time-consuming and laborious, and low efficiency. . Therefore, it is of great practical significance to design a system for automatically diagnosing compound eye lesions in Drosophila. It will not only...

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Application Information

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IPC IPC(8): A61B3/00G06T7/00G06K9/46G06T7/11G06T7/136
Inventor 邓宏贵夏昆范竞敏张振东赖峥嵘
Owner CENT SOUTH UNIV
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