Color selection processing method of CCD color selector

Abstract

The invention provides a color selection processing method of a CCD color selector. The color selection processing method comprises steps of: sending a particle image into an image processor to obtain a gray value of the image; determining optimal parameters of alpha and beta; setting parameters for a simulated annealing heredity algorithm; according to a population scale n, coding an individual in a binary system mode; stretching the fitness of an optimal individual; allowing the less excellent individual to enter into the population of the next generation; performing adaptive cross function operation on the random two individuals and selecting the optimal one to enter the population of the next generation; carrying out adaptive variation function operation on the random two individuals and selecting the optimal one to enter the population of the next generation; and setting the counter t=0 and the minimal new explanation receiving frequency and carrying out simulated annealing operation of each individual in the new population. By use of the color selection processing method of a CCD color selector, brightness of the image is increased; the picture contrast is effectively improved; ideal image enhancing effects can be obtained; and actual requirements of image processing are better met.

Description

technical field [0001] The invention belongs to the technical field of CCD color sorters, in particular to a color sorting processing method of a CCD color sorter. Background technique [0002] During the image collection process of the CCD color sorter, due to technical means and environmental interference, the collected image contains some noise more or less, which will adversely affect the image quality and reduce the visual effect of the image. Image enhancement refers to the use of a certain technology to process the image accordingly to improve the image quality, and the enhanced image quality directly affects the subsequent image analysis. Therefore, improving the image enhancement effect has always been a major research topic in computer image processing. In order to enhance image quality, scholars and researchers at home and abroad have conducted in-depth and extensive research on image enhancement. According to different processing spaces, image enhancement methods...

AI Technical Summary

Problems solved by technology

The frequency domain method is based on the Fourier transform of the modified image, mainly including wavelet transform, super wavelet transform, etc. They have the characteristics of multi-resolution and flexible base selection, and have achieved good application results in image enhancement. The class method can only describe the characteristics and positions of the singular points in the image, and cannot accurately describe the "along" edge characteristics of the image

The spatial domain method is based on the direct processing of image pixels, which can effectively eliminate the noise in the image, but in practical applications, there are still defects such as the inability to maintain the details and edge information of the image, and low image clarity.

Images