double-threshold-segmentation

基于ART算法的CT图像重建 刚找到的，不知能不能用(CT image reconstruction based on ART algorithm)

log Gabor小波图像纹理特征分析我小改過(log Gabor wavelet texture features of image I have little turn over)

二值化图像,提取图像中的圆形，例如提取照片中的车轮(Extracting a circular image, for example, extraction wheel photo)

图像处理实验matlab的图像预处理：边缘检测、二值化、形态学滤波、灰度化(Image processing experiment matlab image preprocessing:Edge detection, binarization, morphological filtering)

指定图像部分，进行图片裁剪或者放单，类似于电商网站的图片放大镜(Specify the image part, cut or put out the picture, similar to the electricity supplier website picture magnifier)

超分辨率复原（分块处理） 将样本库中的高分辨率图象和低分辨率图象分别做分块处理，当新输入一幅低分辨率图象时，分成小块到样本库中寻找最匹配的高分辨率块，然后复原出高分辨率图象。(Superresolution recovery (block processing) for a sample of high-resolution images and low-resolution images respectively block , when the new importation of a low-resolution image, divided into small samples to find the most matching high-resolution block, then recovery from high-resolution images.)

课题是用粒子滤波进行目标跟踪，对经典粒子滤波与其它粒子滤波进行了详细的讲解.(For target tracking particle filter algorithm)

Itti的经典视觉显著性模型的matlab代码，可以直接运行，验证过后就可以下载了。(Itti vision matlab codes)

我的毕业设计，用matlab编的关键帧提取的代码，参考了光流法的代码。是基于帧差的欧式距离，均值，方差，差异系数下的关键帧提取。代码调试通过，运行结果理想，与大家分享下。(I graduated from design, matlab key frame extraction for the code, with reference to code optical flow method. Frame difference is based on the Euclidean distance, the mean, variance, difference coefficient under the key frame extraction. Debugging through the code, run the results are satisfactory, the next to share with you.)

一个很不错的指纹分析算法源代码，可以从采集的指纹图片中进行二次黑白化，平滑图像处理。可以对指纹图像特征信息提取，比对，以轮廓显示以及色彩覆膜特显等技术算法。主要的分析速度很快，值得学习的算法。要在指纹信息处理中比较不错，本站隆重推荐。(A very good fingerprint analysis algorithm source code, from the collection of fingerprint images, the second black and white, smooth image processing. Fingerprint image feature information extraction, compared to the contour display and color coated special significant technical algorithm. Analysis fast, it is worth learning algorithm. Fingerprint information processing site is highly recommended.)