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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

Inactive Publication Date: 2007-12-26
CENT SOUTH UNIV
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Problems solved by technology

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 labor-intensive, low efficiency, etc.
However, this method has relatively large defects: the mean and variance of normal fruit flies are not easy to determine, because the species of fruit flies have large differences in the color of the compound eyes, and the size of the compound eyes is not the same; the lesion area cannot be accurately marked, and it is not easy to count the lesion area and ratio; the number of divided regions N is not easy to determine; the amount of calculation is large and the efficiency is low

Method used

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

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Embodiment Construction

[0021] Chroma DNGR and Chroma H grayscaled images

[0022] The image captured by the camera is an RGB 24-bit true color image, and the DNGR grayscale image can be obtained by calculating DNGR as the color values ​​of the R, G, and B channels from formula (4), as shown in Figure 1. In order to obtain the grayscale image of the color difference H, it is first necessary to convert the RGB color model into an HSV (chroma, saturation, brightness) color model according to formulas (1)-(3).

[0023] Because the compound eye area of ​​Drosophila is close to red, its chromaticity H value is close to 0 or 3600, as shown in the real axis in Figure 3. In order to obtain the chromaticity H grayscale image and at the same time facilitate target extraction, H = 0 or 3600 is taken as the H channel Gray level 0, take the value of |H-300|>0 as the H channel gray level 255, and then divide the ±300 chromaticity range values ​​near the real axis (target red) into 0-255 gray levels, divide them D...

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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.

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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B3/00G06T7/00G06K9/46G06T7/90
Inventor 邓宏贵夏昆范竞敏张振东赖峥嵘
Owner CENT SOUTH UNIV
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