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浏览/检索结果: 共3条，第1-3条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序作者升序作者降序提交时间升序提交时间降序题名升序题名降序 基于机器视觉的高反射率自由曲面缺陷检测技术的研究 学位论文 2011, 2011 方金生 收藏  |  浏览/下载：2/0  |  提交时间：2016/02/14 机器视觉  灰度形态学  二值形态学  Gabor滤波器  缺陷提取  machine vision  grayscale morphology  binary morphology  gabor filter  defect segmentation   The research and implementation on edge detection algorithms of Ochotona curzoniae's image based on grayscale morphology 会议论文 Chengdu, Sichuan, China, October 21, 2011 - October 23, 2011 作者:  Chen, Hai-Yan;  Wang, Hui-Qin;  Cao, Ming-Hua;  Hu, Jia-Qi;  Hu, Wen-Tao 收藏  |  浏览/下载：1/0  |  提交时间：2020/11/15 Automation  Image processing  Mathematical morphology  Morphology  Signal detection  Automatic identification system  Biological recognition  Edge detection algorithms  Grayscale morphology  Ochotona curzoniae  Qinghai Tibet plateau  Scientific method  Target recognition   Input plane preprocessing of joint transform correlator based on Swarm Intelligence (EI CONFERENCE) 会议论文 2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China Yong W.; Ming Z. 收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25 Input plane image preprocessing can improve the performance of Joint Transform Correlator(JTC). Swarm Intelligence based image processing method is consistent with the parallel characteristic of optical signal processing method. In this paper  A Swarm Intelligence based input plane preprocessing method is proposed. Some other methods are also used to perform the task  such as grayscale transform  Sobel operator and mathematical morphology. The experimental results show that the performance of the proposed Swarm Intelligence preprocessing based JTC is better than that of the JTC based on other preprocessing methods. 2009 IEEE.