Abstract
This paper proposes a method to generate a good contrast output image from plural low contrast gray-scaled input images that are captured continuously by a fixed camera. The genetic algorithm is applied to allocate all gradations included in the accumulated input image to appropriate gradations in the output image nonlinearly. The positions to separate the range of gradations in the accumulated input image are coded into an individual chromosome. The individual fitness is evaluated by the summation of edge strengths that is one of spatial features included in the output image. The experimental results show that the good contrast images were generated by the proposed method in comparison with the linear gradations transform method and the histogram equalization method.
