Investigation on the Extraction of Soybean Brown Spot Based on Improved Genetic Algorithm

Aiming at extracting the diseased spots and calculating the feature parameters of diseased spots, set soybean brown spot for example, the present paper studied the extracting method of soybean diseased spots, which used computer digital image processing and genetic algorithm. Firstly, the authors obtain the image, and then recognize the diseased spots through genetic algorithm. At last, compute the feature parameter of diseased spots using the technology of digital image processing. The result indicates that this method can extract the diseased spot efficaciously and calculate the feature parameter accurately which can provide the foundation for recognition of disease category in advance.