hough[matlab]

图像拼接，这是个图像拼接，还能说什么呢我的天是不是傻要字数限制(image fusion i have to think something to explain how to congraduation this website)

一个基于内容的图像检索程序，用于相关反馈检索，采用自己研制（已发表）的查询点学习算法。(a content-based image retrieval procedure for relevance feedback retrieval, own research (published) inquiries point learning algorithm.)

带有完全匹配曾的声波方程正演，从2阶精度到8阶精度可选(Had the acoustic wave equation forward with an exact match, optional 2 order accuracy to 8 order accuracy)

基于直接最小二乘法的椭圆拟合程序，比较实用，适用于图像处理，椭圆拟合方面研究的初学者(Direct least square method based on ellipse fitting procedure more practical for image processing, aspects of ellipse fitting for beginners)

对双目视觉图像对进行匹配获取视差图，为后续三维重建做基础。(Binocular vision images are matched to obtain the disparity map, as a foundation for the subsequent three-dimensional reconstruction.)

自己修改的基于closed-form的程序，对外国程序在时间上有两倍的改善，能对在复杂背景下的图片，通过画一些简单的前景线，背景线，抠图出前景(it is about matting foreground when the interested ared is located under complixed background,and then choosing some other beautiful background,you can create new image,which brings you some special feelings.thanks.)

图像噪声消除，内有很多种消除噪声的方法，比如均值法等。(Image noise reduction, there are many ways to eliminate noise, such as the average method.)

Gray Level Edge Thinning Method Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.

用光流法进行运动物体的检测和跟踪，并返回运动方向(Light flow method of moving object detection and tracking, and return to the direction of movement)

从jd1.ave中读取某一桢图像，并应用dct带通滤波，输出图像为‘source.bmp’(read from a jd1.ave Lo images, and apply Copy-pass filtering, Image output for the 'source.bmp')