kernel-fusion

完成图片的哈哈镜效果，如三角形，圆形，波浪形，弯曲等等(change the picture to any shape you want)

说明：  暗通道先验和CLAHE算法，是基于matlab的算法，找python代码的伙伴可能要失望了(Dark channel prior and CLAHE algorithm)

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.)

采用质心算法来计算输入的激光光斑图像的中心位置，开始的时候可以选择图片的名称和路径(Using centroid algorithm to calculate the position of the input laser spot center of the image, you can select the picture at the beginning of the name and path)

实现多层tiff显微图像识别，追踪显微镜下PS微球的坐标并给出颗粒运动轨迹(Multi-layer TIFF micro-image recognition is realized. The coordinates of PS microspheres under the microscope are tracked and the trajectories of particles are given.)

free-vision library,计算机视觉C++库，含有SAMPLE,非常经典！(free-vision library, computer vision C library, containing SAMPLE. very classic!)

CZT变换进行信号频谱分析，解决了FFT法频域分辨不高的问题，源码开发，特别适用(Chirp Z Transform)

VC++图像处理程序设计(杨淑莹)第四章_灰度变换源码(VC++ image processing program design (Yang Shuying) Chapter _ gray transform source)

关于形态分量分析（mca）的英文文章，共六篇，pdf(Morphological Component Analysis )

能够将图像坐标转化为世界坐标，根据图像像素修改参数(Can transform image coordinates into world coordinates, and modify parameters according to image pixels.)