搜索资源列表
bidui
- 用Opencv做的关于图像相似度方面的东西,可以用作对比两张图片的相似程度。非常有用,实现了可视化界面。-With the Opencv do the things on the image similarity can be used as a contrast to the degree of similarity of the two pictures. Very useful to achieve a visual interface.
cvwork_correlation
- 使用vc++6.0和opencv1.0实现的模板与目标图片的匹配,用模板图像通过依次与图像的重叠区域进行相似度比较,将相似度最大的区域作为匹配目标区域。得出最后的匹配结果-Using vc 6.0 and opencv1.0 achieve the target image matches the template, using the template image followed by image overlap region with similarity comparison, simi
tag
- 利用灰度共现矩阵,sift特征和HSV颜色特征实现的图像相似度计算-Use of gray level co-occurrence matrix, sift characteristics and HSV color features to achieve the image similarity calculation
ImageSimilarity.tar
- C语言实现利用opencv处理图像,将图像逐块分割通过计算平均熵值计算图像相似度-A program processing the image with opencv in C language,it break up the image to calculate the average entropy to calculate the similarity.
MatchShapes
- 基于七个不变矩的图像匹配算法 能够识别具有一定相似度的图像-a image matching method
sifttext
- opencv的sift测试程序,通过摄像头提取图像与图片对比相似度-the opencv sift testing procedures, extract images through the camera and picture contrast similarity
LOT_Source
- 目标跟踪第t帧图像,目标特征,噪音参数,粒子窗口 1. 在第一帧选定跟踪区域,将图像由rgb转成hsv,计算目标的特征模型; 2. 初始化粒子,用超像素计算粒子的特征; 3. 通过emd计算粒子所在位置区域特征计算与目标特征的相似度; 4. 根据emd计算粒子的权重,归一化权重,新的目标位置是所有粒子的位置和权重乘积的和; 5. 建立新目标的特征模型,计算emd。 6. 更新噪音参数; 输出:目标位置,更新参数,新的粒子窗口 -Multiple Object Tr
OpenCv--based-image-retrieval-DEMO
- 基于OpenCv开发的图像检索DEMO,速度较快,效果较好,可以作为一般意义下的图像相似度检索服务!根据具体项目改改即可使用!-OpenCv developed based image retrieval DEMO, faster, better, can be used as image similarity retrieval services in a generic sense! Changed to use the specific project!
2015.4.22-ssimTest(opencv2.5)
- 图像相似度匹配算法,用来匹配两幅图像之间的相似程度-SSIM match
HU
- 利用HU不变矩计算待测图像与模板图的相似度-Use the invariant moment of HU to calculate the similarity between the sample and template
模板匹配
- 基于opencv的模板匹配算法,可以从一副大图中搜索出与模板相似度最高的部分(Template matching algorithm based on OpenCV, you can search from a large image of the highest similarity with the template part)