电子学报2012，Vol.40Issue(3)：611-616,6.DOI:10.3969/j.issn.0372-2112.2012.03.034
一种基于改进型PCNN的织物疵点图像自适应分割方法
An Approach for Fabric Defect Image Segmentation Based on the Improved Conventional PCNN Model
摘要
Abstract
An approach is proposed for fabric defect detection based on the improved conventional pulse coupled neural network (PCNN) model. For these too many parameters of conventional PCNN.it is difficult to get die adaptive parameters. The problem can be solved in the proposed way, in which optimal number of iteration to segment fabric defect image automatically is determined based on minimum difference of uniformity within region. Segmentations on various defect images are implemented with the proposed approach and die experimental results demonstrate its reliability and validity.关键词
脉冲耦合神经网络/织物疵点/图像分割/区域内均匀度Key words
pulse coupled neural network(PCNN)/fabric defect/ image segmentation/uniformity within region分类
信息技术与安全科学引用本文复制引用
祝双武,郝重阳..一种基于改进型PCNN的织物疵点图像自适应分割方法[J].电子学报,2012,40(3):611-616,6.基金项目
陕西省教育厅专项基金项目(No.08JK303) （No.08JK303）
博士启动基金(No.BS1004) （No.BS1004）
