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image prcessing: histogram, negative, thresholding
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IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS
基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法源代码-IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS Bayesian (BAYES) threshold wavelet (WAVELET) image denoising algorithm source cod
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可以检测图像中圆和直线的信息，有利于初学者使用学习。-Edge detection has played an important role in the field of computer vision. A parametric edge detection method based on recursive mean-separate image decomposition is introduced. A method for automatic parameter selection
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in this image thresholding is done.image thresholding is getting by using seed polints concept - in this image thresholding is done.image thresholding is getting by using seed polints concept
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图像处理与应用程序,由输入输出模块、基本处理模块与应用实例三部分组成。
输入输出模块：图像文件、视频采集(640x480)。
基本处理模块：点处理、邻域处理、彩色图像处理、二值图像处理、形态学处理、区域与边界处理。
应用实例：组合阈值、分水岭算法、PCB图像处理、图像合成原理。
- Image Processing Program,consist ImageFile,PointProcessing,NeighborProcessing,ColorImageProcess
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Halftones an input gray level image using using Fixed Thresholding, Random Noise Thresholding, Ordered Dithering, Floyd and Steinburg and Stucki Methods.
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P0401：用Prewitt算子检测图像的边缘
P0402：用不同σ值的LoG算子检测图像的边缘
P0403：用Canny算子检测图像的边缘
P0404：图像的阈值分割
P0405：用水线阈值法分割图像
P0406：对矩阵进行四叉树分解
P0407：将图像分为文字和非文字的两个类别
P0408：形态学梯度检测二值图像的边缘
-P0401: the image edge detection using Prewitt edg
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MATLAB下小波变换的原理教程及示例 包括：一维线性非线性近似、二维线性非线性近似、使用线性滤波过滤噪声、使用小波门限消除噪声、使用小波变换压缩一维信号、二维小波图像压缩等等。-MATLAB wavelet transform under the principle of tutorials and examples include: one-dimensional linear non-linear approximation, two-dimensional linear non-line
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本程序能对一个数字图象完成数学形态学的四个基本运算。对bmp格式的图像进行灰度化处理，再进行阈值分割运算，最后可在菜单中选择进行形态学变换，包括腐蚀、膨胀、开、闭、细化等运算。-This procedure can be completed on a digital image of the four basic operations on mathematical morphology. Bmp format for grayscale image processing, further th
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控制芯片为TMS3200M642,开发环境为CCS6.1，作用为图像编解码方面的图像阈值分割-Control chip TMS3200M642, development environment for CCS6.1, the role of the image encoding and decoding aspects of the image thresholding
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ostu图像分割阈值算法,对Ostu图像分割最优阈值进行优化处理，极大缩短了搜索图像阈值计算时间，与传统的枚举法Otsu方法相比,在计算时间上具有显著的优点-ostu threshold image segmentation algorithm for image segmentation Ostu optimal thresholds to optimize the processing, greatly reduces the search image thresholding comput
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阈值分割。基于二维直方图及混沌粒子群的图像分割方法-Thresholding. Based on two-dimensional histogram and chaotic particle swarm methods for image segmentation
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基于边缘信息的图像阈值化分割方法，基于边缘信息的图像阈值化分割方法-Image based on edge information thresholding segmentation method, based on edge information of image thresholding segmentation
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利用threshold 处理图像后找物件的中心点-simply apply thresholding to image and find out the pin s center
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This program denoises an image based on soft-thresholding wavelet coefficients with the so-called universal thereshold, Visushrink. Only the wavelet coefficients are thresholded.
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小波变换去噪，利用的是小波阈值化图像消噪去噪，matlab开发的-Wavelet denoising using the wavelet thresholding denoising image denoising, matlab development
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otsu算法确定二值化阀值，最大类间方差是由日本学者大津(OTSU)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。
-In computer vision and image processing, Otsu s method is used to automatically perform histogram shape-based image thresholding,[1] or, the reduction of a graylevel image t
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this package include image denoising using visu shrink wavelet threshold.
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image denoising using wavelets with soft thresholding
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image denoising using wavelets with hard thresholding method
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