摘要
对用于目标识别技术的形态学击中击不中变换进行了分析，引入不确定点和模式的概念使得容易受到畸变干扰的像素点对判别结果的作用降低，得到联合排序多值击中击不中变换，从而在不损失图像信息的前提下，提高了目标识别的抗畸变能力，并且具有在输入图像和参考模板之间进行精确匹配的能力。基于非相干光相关器，利用新颖的多值互补编码方法，实现了二值图像的联合排序多值击中击不中变换。
The concepts of uncertain pixel and pattern are used to improve the distortion invariant ability of morphological hit or miss transformation (HMT). A method called jointrank order multi value hit or miss transformation (JRMVHMT) is introduced, which reduces the decision effect of the pixels that is easily disturbed by rotation and scaling distortion. Because of not losing information of the input images, JRMVHMT can realize the precision recognition between two images and has a better distortion invariant ability for scaling and rotation than the ordinary HMT. The comparison of JRMVHMT with the ordinary HMT in theoretic analysis and experiments is given. Based on an incoherent correlator and multil value complementary encoding, JRMVHMT is realized for binary image recognition and gets satisfying results.
出处
《光学学报》
EI
CAS
CSCD
北大核心
1999年第2期155-162,共8页
Acta Optica Sinica
基金
国家自然科学基金
863高科技研究
发展计划
曹光彪高技术发展基金
关键词
光学模式识别
击中击不中变换
编码
抗畸变
optical pattern recognition, hit or miss transformation, multi value complementary encoding.
