资源列表
image-thresholding-segmentation
- ]图像分割是图像处理的一个重要研究方向，本文在介绍了基于阈值的图像分割算法的基础上，针对最大类间方差的寻优问 题，利用遗传算法求解最佳闽值-Image processing image segmentation is an important research direction in this paper, based on the threshold image segmentation algorithm based on Otsu, aiming at the optimizatio
gussianyuan
- 基于模糊粗糙集的图像阈值分割，隶属度函数选取高斯函数，效果好，计算快-Digital Image Segmentation Used Rough and Fuzzy Set
Active-Contour
- 弹性蛇形算法，用于图像分割，区域检测等等，算法灵活性很好，适用范围广泛-Active Snake Algorithm, for image segmentation
isodata
- ISODATA图像分割 可使用不同的颜色空间尝试-The ISODATA image segmentation try to use a different color space
matlabfor-two-dimensional-
- matlab画二维折线图，通过此程序可以在matlab中绘制二维折线图-matlab draw two-dimensional line chart, through this program in matlab draw two-dimensional line chart
DLT
- 利用DLT算法，找出两幅图像间的对应点，求出射影矩阵。作业文档中有算法说明，运行说明文档中有各函数和变量的描述。-Given two images of a planar region: image_A and image_B, please estimate the Homography of this plane mapping from A to B. Please implement the DLT method to estimate the H
kmeans_cluster_recognization
- kmeans聚类，彩色图像分割，形态学处理，标记水果-kmeans clustering, color image segmentation, morphological processing, labeled fruit
Shape-matching-with-Zerinike-moments
- 结合Zernike矩的多尺度模板形状匹配，该算法对输入图像进行预处理后提取目标轮廓，经过归一化处理得到目标形 状的平移、尺度不变的链状表达，再通过小波变换进行多尺度分析；引入Zernike矩，利用Zernike矩的特性，实现小波表达的旋转不变性，解决了小波变换对起始点的依赖。-Shape matching based on multi-scale template with Zerinike moments，The object shape representation is convert
MATCH_FUSE
- MATCH_FUSE:是把配准移植到融合上程序，可以边采集，边配准，边融合。 在手工配准时，这个是针对改程序的配准，所以配准时是采用红外为基准图像，可见光为带配准图像。 配准结果生成一个.XML文件，自动保存起来，然后在融合时加载同文件名XML文件。-MATCH_FUSE: is the registration transplanted into integration program, can collection, edge matching, edge fusion.In the
sift-match
- SIFT特征点检测，配准、匹配，代码经验证可用-sift match ransac appendimages
TVAL3_v1.0
- rice大学Chengbo Li, Wotao Yin, Yin Zhang编写的，使用TV重构图像的matlab程序，内有使用说明，及相关文章-of rice University Chengbo Li, Wotao Yin, Yin Zhang written TV reconstructed image matlab program, with instructions for use, and related articles
20130122
- 数字图像处理，vc++实现运动模糊&复原、逆滤波退化&复原、加噪退化、维纳滤波复原-Digital image processing, vc++ motion blur & recovery, degradation & restoration, increase noise and degradation of inverse filtering, Wiener filtering for restoration