%0 Journal Article
%T An Approach of Mesh and Striation Texture Recognition for Ore Microscope Image Classification<br>矿物显微图像中网孔状及针板状成分识别方法研究
%A YOU Jin-min
%A LI Xian-wei
%A SHEN Hong-biao
%A LIU Qi-zhen
%A <br>游劲敏
%A 李咸伟
%A 沈红标
%A 刘其真
%J 中国图象图形学报
%D 2006
%I 
%X The ingredient analysis of ore microscope image is a challenging research area. To accomplish automatic recognition task on a kind of ore, this paper proposed an improved statistical hypothesis method for mesh texture ingredient recognition; and with Sobel edge detection, Skeleton Extraction, Hough Transformation another method is proposed on the recognition for needle like or striation texture ingredient. The experimental results show that the methods proposed in this paper are efficient.
%K mineral texture
%K statistical hypothesis
%K edge detection
%K skeleton extraction
%K Hough transformation
%K image segmentation<br>矿石纹理
%K 统计假说
%K 边缘检测
%K Hough变换
%K 骨架提取
%K 图像分割
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=6C94272CAB8545B6&yid=37904DC365DD7266&vid=708DD6B15D2464E8&iid=708DD6B15D2464E8&sid=721F8E311AAA0176&eid=B9018D9DCA7DD012&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=2