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MRF2.2
MRF代码实现,visual C++ 代码,不错,可以尝试(an implementation of MRF)
- 2021-03-11 15:09:26下载
- 积分:1
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KNearestclass
使用K近邻算法对一个2维德样本集进行分类,样本集的分布为混合高斯分布。(K nearest neighbor to use a 2 Verde sample set for classification, the distribution of sample set for mixed Gaussian distribution.)
- 2008-06-25 04:50:13下载
- 积分:1
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apf-
关于自适应粒子滤波,我觉得很好用,贝叶斯滤波适合非线性和非高斯环境,在粒子滤波基础上 又加改进(About adaptive particle filter, I feel very good, a bayesian filter for nonlinear and non-gaussian environment, particle filter in again on the foundation and improvement)
- 2011-12-07 10:26:00下载
- 积分:1
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Iris-images-recognition
虹膜图像识别的完整程序,包括预处理,Hough变换定位中心,汉明距离匹配等。(Complete program iris recognition, including pretreatment, Hough transform positioning center, Hamming distance matching.)
- 2021-04-18 16:08:52下载
- 积分:1
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cv2
说明: matlab编写的纹理图像分割,用c-v模型进行图像分割(matlab prepared texture image segmentation, cv model using image segmentation)
- 2009-08-13 15:30:38下载
- 积分:1
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边缘检测算法的一种实现
自己写的一种查找图像边缘的方法,效果还不错(a way to find the edge of a picture by myself, and it can reach good result)
- 2021-03-29 14:19:11下载
- 积分:1
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WAV-LSB-Watermark
WAV音频的LSB信息隐藏,隐藏文件为二值图像,Matlab编程(WAV audio LSB information hiding, hidden files as binary image, Matlab programming)
- 2020-11-18 17:49:38下载
- 积分:1
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ZHONGBIAOFENGEG
读取图片,分割出敢兴趣区域,用到同态滤波,形态学,连通域,以及hough圆检测等算法。(Read images, segmented m interested in the area, the use of homomorphic filtering, connected domain, morphology, hough circle detection algorithm)
- 2014-06-08 10:33:30下载
- 积分:1
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图片雾化效果 实例
图片雾化效果 实例
- 2013-06-09下载
- 积分:1
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FSIM
Zhang等人
利用相位一致性信息的特性,提出了
特征相似性方法(FSIMG) ,选取了相位一致性信息和梯度信息
作为它的两个特征,得到了较好的结果。
(A novel feature similarity
(FSIM) index for full reference IQA is proposed based on the fact that
human visual system (HVS) understands an image mainly according to
its low-level features. Specifically, the phase congruency (PC), which is a
dimensionless measure of the significance of a local structure, is used as the
primary feature in FSIM. Considering that PC is contrast invariant while
the contrast information does affect HVS’ perception of image quality, the
image gradient magnitude (GM) is employed as the secondary feature in
FSIM. PC and GM play complementary roles in characterizing the image
local quality. After obtaining the local quality map, we use PC again as a
weighting function to derive a single quality score. Extensive experiments
performed on six benchmark IQA s demonstrate that FSIM can
achieve much higher consistency with the subjective uations than
state-of-the-art IQA metrics.)
- 2015-09-16 19:18:45下载
- 积分:1