Image recognition diagnosis method for fruit fly compound eye disease

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...

AI Technical Summary

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 number of segmented regions N is not easy to determine; the amount of calculation is large and the efficiency is low

The spectral feature method performs two-dimensional Fourier transform on the fruit fly image, and observes the spectral images of normal fruit flies and diseased fruit flies, because the detail information (small eyes, high-frequency components) and main information (compound eyes) of normal fruit flies and diseased fruit flies , low-frequency components) are roughly the same, but statistically found that there is no obvious spectrum distinction between normal fruit flies and diseased fruit flies, this method cannot effectively realize the diagnosis of compound eye lesions in fruit flies

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