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第09章 人脸的检测与定位
- 人脸的检测与定位(在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究。)-Face Detection and Location (pretreatment, using a special facial features enhanced facial skin and the contr
T96b
- 分水岭算法——“汇水盆地”的确定 搜索局部最大种子点，设置阈值标志和阈值-watershed algorithm -- "catchment basin" to determine the best local search seeds, setting the threshold value and a threshold
corner_detector
- 我用matlab写的一个corner detector, 效果比现在流行的harris，susan，CSS等效果要好。 Algorithm is derived from: X.C. He and N.H.C. Yung, Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support , Proceedings of the 17th International Co
Eyesegmentation
- 睫毛最优阈值化处理之后用基于连通域搜索的方法进行噪声点删除，主要用到函数bwareaopen，代码包含在jiemao.m文件中。-Optimal threshold eyelashes after treatment with the method based on connected local search to remove the noise points, mainly used in the function bwareaopen, the code contained in the
SUSANCorner
- SUSAN角点检测程序，基于像素临域包含若干元素的近似圆形模板，对每个像素基于该模板领域的图像灰度计算角点响应函数（CRF）的数值，如果大于某阈值且为局部极大值，则认为该点为角点。-SUSAN corner detection procedures, pixel-based Pro Domain contains a number of elements in quasi-circular template, the value of each pixel based on the templa
fingerprintrecognition
- 指纹识别的一个应用实例.利用database来存储指纹的特征值与输入的指纹特征值比较找出近似的.-The basic idea is to combine both global and local information of fingerprint. Given a threshold to detect the given fingerprint with the fingerprint in database
peakdet
- Peak detection is one of the most important time-domain functions performed in signal monitoring. Peak detection is the process of finding the locations and amplitudes of local maxima and minima in a signal that satisfies certain properties. These pr
finger3
- 应用自适应理论和模糊理论，提出几种确定二值化阀值的具体方法。这些方法 然由简到繁，但是其灰度的局部适应性和方向的匹配性越来越强，因而得到的阀 越来越准确。-Adaptive theory and fuzzy theory, several binarization threshold to determine the specific method. However, these methods from the simple to the complex, but the intens
001
- 对子图像进行局部直方图计算，由最大方差比例阈 值确定方法计算出子图像的最佳阈值。根据局部直方图中波峰数决定是否增强子图像中被最佳 阈值划分出的低灰度区域和高灰度区的对比度。然后对已经选择性对比增强的图像进行边缘检 测。实验证明图像的区域层次更清楚，提取的边缘细节也更丰富。自适应算法则最大限度地突 出了边缘而同时保持了图像中相近灰度级的平滑性和连续性。-Image pairs local histogram calculation by the maximum variance r
004
- LoG 算子作为一种零交叉检测器对局部灰度变化敏感 不易受非均匀光场的干扰 可检测 出能较准确反映局部灰度变化的二阶过零点 利用对 LoG 算子检出的零交叉点的插值可求出动 态阈值曲面 并对图像进行二值化 能有效克服非均匀光场对图像分割结果所带来的影响-LoG operator as a zero-crossing detector is sensitive to the local gray are less prone to interference from non-uniform
peakfinder
- This function quickly finds local peaks or valleys (local extrema) in a noisy vector using a user defined magnitude threshold to determine if each peak is significantly larger (or smaller) than the data around it. The problem with the strictly deriva
05363793
- An Improved PSO Algorithm to Optimize BP Neural Network Abstract This paper presents a new BP neural network algorithm which is based on an improved particle swarm optimization (PSO) algorithm. The improved PSO (which is called IPSO) algori
two_valuable
- 灰度图像二值化比较经典的算法，包括otsu方法和局部阈值法。-Gray image binarization more classic algorithms, including methods and local otsu threshold.
harjiaodianjiance
- Harris角点检测算 法是在Moravec算法的基础 上提出的。Moravec角点检测算法的思想是： 在图像中 设计一个局部检测窗口，当该窗口沿各个方向作微小移动时 ，考查窗 口的平均能量变化，当该能量变化值 超过设定的阈值时，就将窗口的中心像素点提取为角 点。-Harris corner detection algorithm is based on the algorithm in Moravec' s. Moravec corner detection algorithm idea
fengefa
- 三种图像分割法，有全局阈值otsu分割、迭代法全局阈值分割、局部阈值分割程序。-Three image segmentation method, there are global threshold otsu segmentation, iterative method global thresholding, local threshold segmentation program.
Bernsen
- Bernsen算法是一种典型的局部阈值算法-Bernsen algorithm is a kind of typical local threshold algorithm
Background Subtraction
- 局部阈值化处理身份在，基于提取直线的角度补正和MSER划分连通区域(The local threshold is used to deal with the identity, and the connected region is divided based on the extraction of the line angle and the MSER)
Corner
- 1。将Canny边缘检测器应用于灰度图像，得到二值边缘图。 2。从边缘图中提取边缘轮廓，填补等高线上的空白。 三.计算每个轮廓的低曲率以保持所有真实的角，所有曲率的局部极大值被认为是初始角点。 4。使用自适应局部阈值来去除初始角点，以去除圆角。 5。角候选的角度进行评估，以消除任何虚假角落由于量化噪声和琐碎的细节。上述评价基于一个动态的支持区域，该区域根据其相邻的角候选对象进行更改。 6。轮廓线的端点被认为有附加的标准。(1. Apply the Canny edge detector
M-niblack
- matlab的niblack实现，局部阈值分割与区域平均阈值计算(Niblack implementation of MATLAB, local threshold segmentation and region average threshold calculation.)
16 阈值分割
- 阈值分割的各种方法的集合。局部阈值分割法，全局手动、自动阈值分割(A set of thresholding methods. Local Threshold Segmentation, Global Manual and Automatic Threshold Segmentation)