Research on Image Enhancement Method Based on Adaptive Immune Genetic Algorithm

摘要

The traditional method for image enhancement exists such as poor suitability and requires pre-selected threshold, for complex environment is not ideal for image enhancement. This paper applies an adaptive immune genetic algorithm to the image enhancement processing, establishment of one kind can automatically adjust the image according to the image quality gray-scale nonlinear adaptive enhancement method. The use of new vaccines and immunization methods of operation selection strategy, the nonlinear image enhancement function automatically finds the optimal transformation parameters, thereby enhancing image contrast and detail to achieve the effect of image enhancement. Experimental results verify the feasibility and efficiency, not only improve the overall image sharpness, and be able to maintain image details and texture, with good adaptability and anti-noise ability of the complex environment image enhancement has a positive meaning.