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.
Digital Image Processing GeneticAlgorithm Soybean Brown Spots Feature Extracting
Ma Xiao-dan Guan Hai-ou Tan Fen
College of Information Technology Heilongjiang Bayi Agricultural University DaQing China 163319
国际会议
西安
英文
14-17
2010-08-07（万方平台首次上网日期，不代表论文的发表时间）