农业机械学报2011，Vol.42Issue(11)：148-153,6.
基于并行点火PCNN的玉米病害彩色图像分割方法
Color Image Segmentation Method for Corn Diseases Based on Parallelized Firing PCNN
摘要
Abstract
A kind of unsupervised segmentation processing method based on parallelized firing PCNN algorithm was proposed. The color images of corn disease were segmented by improved parallelized firing PCNN which the normalized L + U as external stimulus input, the integrated information of the geometric distance and the color difference between neighboring pixels as the PCNN coupling value, the minimum color contrast of color vector as the criteria of the best segmentation results, in parallel with improved disease of maize PCNN to segment color images. The segmentation experiments which 100 images of four kinds of diseases showed that the method could better segment the diseased regions with high fitness and low complexity parameters.关键词
玉米病害/图像处理/并行PCNN/彩色图像分割Key words
Corn diseases/Image processing/Parallelized firing PCNN/Color image segmentation分类
农业科技引用本文复制引用
王守志,何东健,韩金玉..基于并行点火PCNN的玉米病害彩色图像分割方法[J].农业机械学报,2011,42(11):148-153,6.基金项目
国家自然科学基金资助项目(60975007) （60975007）
