计算机工程与应用Issue(20)：153-156,174,5.DOI:10.3778/j.issn.1002-8331.1201-0012
基于多态蚁群算法的回转窑图像分割方法
Segmentation of kiln image based on polymorphic ant colony algorithm
摘要
Abstract
To solve the problem that some classic algorithms are not too effective in the segmentation of kiln image when noise exists and background image gray changes smaller, a new image segmentation method is proposed, which combines the poly-morphic ant colony algorithm with wavelet transform. The lowest frequency coefficients divided into several blocks are extracted using wavelet transform, with different image areas, a new threshold method is applied. As a result, the segmentation result of kiln image is improved. Experimental results prove that the proposed method can enhance segmentation accuracy and reduce running time.关键词
小波变换/多态蚁群算法/黑把子/图像分割Key words
wavelet transform/polymorphic ant colony algorithm/black target/image segmentation分类
信息技术与安全科学引用本文复制引用
吴闯,张小刚..基于多态蚁群算法的回转窑图像分割方法[J].计算机工程与应用,2013,(20):153-156,174,5.基金项目
国家自然科学基金（No.60874096，No.61174050）。 （）
