搜索资源列表
abc.cpp
- 判斷01.jpg和02.jpg相似度 用來比對兩張圖片-compare the two different picture
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
aaaaaa
- 基于opencv实现的《bmp_基于像素统计的相似度检测》 判断两张图片的相似程度-Based on the opencv achieve bmp_ similarity detection based on pixel statistics to determine the degree of similarity of two images
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.
HistMatch
- 对比两个图片归一化直方图对比相似度,用巴氏距离计算-Contrast 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
sift-see
- 关于opencv的一种自适应的相似度饱和的很好的例程-Opencv an adaptive similarity saturated good routines
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!
facedetect
- VS2008+opencv ,以人脸和眼睛作为特征，可用一张或者多张人脸作为训练模版，进而可以进行人脸相似度匹配，代码实时性强，可用与毕业设计或相关工程-VS2008+ opencv, people face and eyes as a feature that can be used one or multiple faces as a training template, and then you can face similarity matching, code real-time, c
compareHist
- 使用OpenCV函数 compareHist 产生一个表达两个直方图的相似度的数值-Using OpenCV function compareHist produce a numerical expression of the similarity of two histograms
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)
TestLBP
- 使用vs2008开发平台，c++语言，对人脸图片进行LBP特征提取，再通过距离度量计算人脸相似度，在100人的小库中准确率超过80%(We use VS2008 development platform and c++ language to extract LBP features from face images, and then calculate face similarity by distance metric. The accuracy is over 80% in 100 sm
find people
- visual studio 2015平台上实现，摄像头识别人脸位置，并且与库中图片对比，识别人脸相似度。(On the visual studio 2015 platform, the camera recognise the face position and compare with the picture in the library to identify face similarity.)