Mean shift texture surface detection based on WT and COM feature image selection

Mean shift is a widely used clustering algorithm in image segmentation. However, the segmenting results are not so good as expected when dealing with the texture surface due to the influence of the textures. Therefore, an approach based on wavelet transform (WT), co-occurrence matrix (COM) and mean shift is proposed in this paper. First, WT and COM are employed to extract the optimal resolution approximation of the original image as feature image. Then, mean shift is successfully used to obtain better detection results. Finally, experiments are done to show this approach is effective.

素描Delphi

在结构化编程向对象化编程过渡的时候，以开发编译器最为优秀的Borland公司推出了Object Pascal的Windows可视化开发环境,这就是著名的RAD开发工具Delphi。有句俗话叫“初级的程序员用VB，高级的程序员用VC，聪明的程序员用DelPhi”，按我的理解,这句话并不完全正确。