Project_report

基于otsu的自适应阀值canny边缘检测(adaptive canny edge detection based on otsu)

利用PCNN，可得到二值图像的轮廓，轮廓的宽度可调节(The use of PCNN, available binary image contours, contour width adjustable)

demons 配准非常好用的非刚体配准！(Registration is very easy demons non-rigid registration!)

运用基于粒子滤波法和MEANSIFT算法实现视频序列的目标跟踪(The use of particle filter based algorithm and MEANSIFT tracking video sequences)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

一些matla实现的图像处理算法，有emd,和BEMD分解的程序，及图像去噪等算法。(Some matla realize image processing algorithm, emd, and BEMD decomposition process, and image denoising algorithm.)

数字图像处理课程期终项目，对图像进行放大，并进行滤波，达到一定的信噪比。(The final project of the digital image processing lesson, which is programmed for enlarging a image into demanding size.)

求质心到图像轮廓边缘的距离，并将其用figure表示出来(The distance from the center of mass to the edge of the image contour)

本程序运用帧间差分法进行运动目标的检测，通过帧间差分法获得差分图像，然后运用数学形态学进行处理，突出运动目标。(This program uses the inter-frame difference method for the detection of moving targets, the difference image obtained through the inter-frame difference method, and then use mathematical morphology processing, highlighting the moving target.)

本程序为matlab写的morphing. 将不同角度拍摄之影像做morphing, 成为一摄影机连续移动拍摄同一物品的影带，可作为VR之用. (the procedures written in Matlab for morphing. Different angle Imaging filming done morp hing, as a continuous mobile cameras filming the same article video tapes can be used as a VR.)