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matlab编写的harris程序,对初学者还是很有帮助的(harris program written in matlab, or helpful for beginners)

说明：  对图形进行二维傅里叶变化后的频谱进行中心化(Centralization of the spectrum after two-dimensional Fourier transform)

输入控制点对，即可得到畸变校正系数。 此例中使用最近临插值。如要得到更好效果，可换用双线性或3次插值。(Input control point right, you get distortion correction factor. In this case, using the most recent clinical interpolation. To get better results, can be used for bilinear interpolation or 3 times.)

对比CPU和GPU加速，pcl::cuda的使用教程，利用随机采样一致(RANSAC)去除地平面等例子。(Compare CPU and GPU acceleration, pcl::cuda tutorial, using random sampling consistency (RANSAC) to remove ground plane and other examples.)

这是基于Tent映射粒子群的交叉熵阈值分割程序。(This is code of method based on Tent particle swarm optimization and cross-entropy.)

SVM 用于基于块划分特征提取的图像分类源码(SVM for feature extraction block-based image classification into source)

视觉注意力模型，寻找感兴趣区域，模仿人眼找出最感兴趣的区域，再找出第二感兴趣的区域，以此类推(Visual attention model to find the region of interest, to imitate the human eye to identify the most interesting region, and then find the second region of interest, and so on)

楔波变换，在SAR图像中实现边缘检测，为目标识别做铺垫工作。(The wedge waves transform, SAR image edge detection, target identification pave the way for the work.)

说明：  图像处理，图像分割，图像变换，图像特征提取，图像增强，图像编码压缩(Image processing, image segmentation, image transformation, feature extraction)

数据库是由10个人的7种正面表情组成的213幅灰度图像，图像是以大小为256256的8位灰度级存储的，格式为.tiff型，平均每个人每种表情有2到4张。( the JAFFE database[11] which is composed of 213 images of female facial expression corresponding to 10 distinct subjects. Each image is stored at a resolution of 256×256 pixels and 8-bit gray level. Each subject in the database is represented with 7 categories of expression (angry, disgust, fear, neutral, sadness, happiness and surprise). )