搜索资源列表
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- 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
Meng04_nicola_lenihanmatlb_bom
- Multiple Matrix Correlation (MMC) algorithm determines the location of the user by comparing the radio map of the area with the signal strengths received at the user device from all transmitters in the area. The Local Optimal Position (LOOP) al
WCDMA
- 本文首先提出了基于接收信干比的局部和全局算法，在次基础上提出了一种自适应接纳门限算法，其基本出发点是在保证系统中断性能的前提下，尽可能降低系统阻塞概率，充分利用系统容量资源。-This paper proposes received signal to interference ratio based on the local and global algorithms, based on the second admission, an adaptive threshold algorithm
hundunpso
- 针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率
multiscaleLBP
- 这是局部二值模式的代码，其中mygetmapping是产生lbp代码模式，mylbp是阈值lbp算法。-This is the code of the local binary pattern, which mygetmapping is generated the lbp code mode, the mylbp threshold lbp algorithm.
Bnormalizatioi
- 图像的二值化处理就是讲图像上的点的灰度置为0或255，也就是讲整个图像呈现出明显的黑白效果。即将2566个亮度等级的灰度图像通过适当的阀值选取而获得仍然可以反映图像整体和局部特征的二值化图像。 已通过测试。 -Binary image processing is about the point grayscale image is set to 0 or 255, that is, speaking to the entire image showing a clear black and
corner_detector
- 这是用matlab写的一个corner detector, 效果比现在流行的Harris，susan，CSS等效果要好。 Matlab 确实如此，效果很好，不管是边缘还是角点 -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 , Proceedin
matlab-code
- 应用Matlab工具箱演示对比度增强，局部平滑，中值滤波，小波工具，边缘检测，图像二值化，Hough变换直线提取，灰度阈值分割，四叉树分裂合并法等，并完成这些处理程序的GUI集成。-Application the Matlab toolbox Demo contrast enhanced local smoothing, median filtering, wavelet tools, edge detection, image value, Hough transform line extra
segmentation
- Image Segmentation. A central problem, called segmentation, is to distinguish objects from background [10]. For intensity images (ie, those represented by point-wise intensity levels) four popular approaches are: threshold techniques, edge-based
006
- 由于光线分布不均匀或斑块噪音干扰等原因,往往使所要处理的指纹的灰 度值分布缺乏均匀性。在指纹特征自动识别提取过程中,造成许多传统的算法在局部出 现很大的误差。利用方差和均值特征的自动提取方法,首次对不均匀灰度图像进行自适 应分割。然后通过对图像分区域进行不同程度的自适应调整,使具有相同属性的像素单 元具有近似的灰度值分布。调整结果的灰度均匀水平与预先指定的调整精度成正比。这 种调整不仅提高了图像分割的自适应性,而且进一步扩大了一般阈值算法的应用领域。-Gray value d
fuse-segment
- 该算法是利用形态学高帽变换进行首次图像分割，然后再利用局部自适应阈值分割进行细分割。对分割尺度不同的物体效果比较好。-The algorithm is using morphological top-hat transform the first image, and then using local adaptive threshold segmentation fine segmentation. Different objects segmentation scale better.
papr_windowing
- reduction to papr in ofdm with Peak Windowing: The basic idea of peak windowing is to multiply the envelope of OFDM signal with a weighting function . Therefore, ~xE (t)= xE (t) f (t) where XE(t) =[x(t)] The weighting function give
zsyyz
- 可以根据图像的局部特征分别采用不同的阈值进行分割。实际处理时，需要按照具体问题将图像分成若干子区域分别选择阈值，或者动态地根据一定的邻域范围选择每点处的阈值，进行图像分割。-According to the local characteristics of image with different threshold segmentation. Actual processing, the need to divide the image into several sub areas accor
Desktop
- 局部二值模式的改进形式：通过多阈值计算彩色，灰度等图像的lbp值-The local value of two improved model: the threshold calculation of color, gray image LBP value
m13
- 针对户外视频监控存在光照变化这一问题, 提出一个用于准确完成目标检测的实时背景建模框架. 考虑到目标检测 的准确性要求, 建立基于帧间像素亮度差统计直方图的像素亮度扰动阈值. 在此基础上, 针对背景建模的实时性要求, 提出一种基于自回归背景模型的参数快速更新方法. 鉴于不同光照变化的适应性要求, 定义对光照变化不敏感的背景纹理模型. 上述模型统称为自回归{ 纹理(Auto regression and texture, ART) 模型, 该模型适应于户外光照变化. 基于该模型构建像素亮度和纹
face-recognition-PDF
- 一种局部敏感的核稀疏表示分类算法_张石清_赵小明_楼宋江_闯跃龙_郭文平_陈盈 一种融合多模式韦伯局部特征的人脸识别方法_李昆明 自适应阈值及加权局部二值模式的人脸识别_张洁玉-A topical sensitive nuclear sparse representation classification algorithm _ _ House Song Jiang Zhao Xiaoming Zhang Shiqing _ _ _ Chuang Chen Ying Guo Wenpin