标注节点 (2)

说明：  基于MATLAB编程的菲涅耳离轴全息图的记录(Recording of Fresnel off-axis hologram)

Gabor小波提取特征,然后用支持向量机作分类器，可以用于掌纹，人脸，指纹识别。(Gabor wavelet feature extraction, and then use the support vector machine as classifier, can be used for palmprint, face, fingerprint identification.)

convert bmp to rgb565(algorithm to handle all kinds of bmp to rgb565)

基于轨迹划分的异常轨迹检测方法。首先采用两种分段粒度将每条轨迹分为若干子轨迹线段，然后，在基于距离的异常检测方法的基础上，引入调整系数的概念，采用密度与距离相结合的方法进行异常轨迹检测。 (Abnormal trajectory detection method based on trajectory partition.Firstly each trajectories should be divided into several substrajectories using two granularities. Then the notion of adjustment coefficient is introduced on the basis of distance based anomaly detection method, and the abnormal trajectories are detected combining density and distance. )

利用模糊C聚类（FCM）的方法对彩色图像进行分割，期中可以用不通的特征向量来表征图像的特征(The method of fuzzy C clustering (FCM) is used to segment the color image. In the period of time, the feature vectors can be used to characterize the features of the image.)

基于K均值算法和互信息熵差的算法，可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。(K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization of medical image segmentation.)

GVF相关代码及相关论文资料()，含: GRADIENT VECTOR FLOW DEMONSTRATION(GVF) matlab code, ITERATIVE WATERSHED SEGMENTATION (c-code), 与SNAKE GUI代码。 (所含文件:gvf_v5.zip，MateiDemo.zip, snake_demo.zip) (gradient vector flow code and related information paper (), containing : GRADIENT VECTOR FLOW DEMONSTRATION (gradient vector flow) matl ab code, ITERATIVE WATERSHED SEGMENTATION (c-code). with Snake GUI code. (Contained in documents : gvf_v5.zip, MateiDemo.zip. snake_demo.zip))

基于改进遗传算法的单阈值图像分割方法，该方法在基础遗传算法的基础上进行了改进(Application of Basic Genetic Algorithms in Image Segmentation)

改进分水岭算法，详细注解标在m文件内了，希望对大家有用(Improved watershed algorithm and hope for all of us)

掌握OpenGL中的矩阵变换、模型视图变换及投影变换。(The perspective projection, main view, overhead view and side view of the space tetrahedron shown in Figure 7-41 of the textbook P228 are displayed in four viewing areas using the multi-view area in OpenGL.)