guiyihuachengxu

说明：  LSB算法在图像中隐藏文本信息，实现效果良好，分享给大家(The LSB algorithm hides the text information in the image to achieve good results and share it with everyone)

图像处理源程序，实现二值化变换，经一幅图像灰度化后，变成二值化图像，包括大津法、最大类间方差法、一般阈值法、及文本识别最有用的Niblack法(Image processing program and realized binarization transformation, after by a gray-scale image into binary image, including the Otsu method, Otsu method, the general threshold, and text to identify the most useful Niblack method)

十分有用的 图像pocs算法，内有图片说明及示例(A very useful POCS algorithm for images, with illustrations and examples)

这是一个常用的基于Fcm的图像分割源程序，希望对大家有用(This is a commonly used image segmentation based on FCm source, in the hope that useful to everybody)

这是自己编的卷积型小波包的分解程序，用于机械故障特征提取，实现了克服Mallat算法数据量减少和产生虚假频率的缺陷(Own series of convolution type of wavelet packet decomposition procedures for mechanical fault feature extraction to overcome the defects of the the Mallat algorithm decrease in the amount of data and produce false frequency)

基于图像处理的人脸检测系统，通过openCV软件来实现的(Image processing based face detection system, implemented by software openCV)

实现图像的方差，斜度，峰度，能量和熵的实现，代码简单，可以直接运行(matlab graph variance)

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.)

说明：  图像半监督聚类算法flicm算法的matlab，内有图像数据集，可直接使用(Image semi supervised clustering algorithm flicm algorithm matlab, there are image data sets, can be used directly)

利用双线性插值，获取亚像素位置的灰度值。适用于得到sift、surf得到的特征点坐标处的灰度值获取(The gray value of sub-pixel position is obtained by bilinear interpolation)