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RANSAC image registration software
Date : Size : 1kb User : Aeolos

matlab区域增长图像分割程序,通过种子点搜索邻域的方法进行增长-matlab image segmentation procedures for regional growth
Date : Size : 1kb User : 111111111

Rosenbrock函数图像绘制源代码程序。为毕业设计而制作。——张景-Rosenbrock function image mapping program source code. Designed and produced for graduation.- Zhang
Date : Size : 346kb User : zhangjing

Gabor filter wavelet image processing
Date : Size : 2kb User : hooman

gabor wavelet matlab image processing
Date : Size : 1kb User : hooman

图像目的轮廓边缘提取检测,例子为车牌号码的检测-The purpose of edge extraction image contour detection, for example, the plate number for the detection
Date : Size : 104kb User : 李秀丽

医学影像数据可视化--- 很不错的参考资料哦 [博]2006-梁秀霞-张彩明-山东大学-医学影像数据可视化中若干问题研究-Medical image data visualization--- good reference
Date : Size : 4.25mb User : yu

CT等医学图像的分割及其三维重建的MATLAB源代码-Display-3D-Image
Date : Size : 66kb User : 孙莱茵

这是我自己写的对图像进行预处理的matlab源程序,主要是对图像进行光照补偿、旋转与尺度归一化。上传上来和大家一起学习、分享。-This is I wrote it myself pretreatment image matlab source, mainly for image illumination compensation, rotation and scale normalized. From up and study together, to share.
Date : Size : 3kb User : xiechen

利用MATLAB实现的一些图像处理程序 有利用HOUGH变换实现圆的检测 也有实现均值处理的以及同台滤波处理还有中值滤波的-The use of MATLAB implementation of a number of image processing procedures have to use HOUGH transform circle detection also realize there is implementation of the deal, as well as the mean filter treatment have the same median filter of
Date : Size : 4kb User : 刘东

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利用改进的脉冲神经网络完成灰度图像的分割-The use of impulsive neural networks to improve the completion of gray-scale image segmentation
Date : Size : 1kb User : 岳碧波

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模糊C均值分类,用于图像处理中 很好用的,极力推荐 -Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend
Date : Size : 2kb User : zf_528

本文档记录了matlab的常用图像处理命令,通过学习,您可以掌握一些基本的图像处理技能。-This document records the common matlab image processing orders。through the study, you can master some basic image processing skills.
Date : Size : 417kb User : Prince

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matlab图像增强包括直方均衡,平滑,锐化,具体实现源代码-matlab image enhancement, including straight side balanced, smooth, sharpen, the specific implementation source code
Date : Size : 3kb User : 英子

在Matlab中实现基于旋转尺度不变特征提取特征点的方法。-Matlab implementation of the rotation based on scale-invariant feature extraction method of feature points.
Date : Size : 2.51mb User : quanshuiwusheng

this the code for image compression using neural network.-this is the code for image compression using neural network.
Date : Size : 1.25mb User : satya

ch5_1_1: 图像灰度线性变换 (§5.1.1) ch5_1_2: 图像灰度分段线性变换 (§ 5.1.1) ch5_1_3: 采用对数形式的变换函数进行动态范围压缩 (§5.1.1) ch5_1_4: 图像直方图的均衡化 (§5.1.2) ch5_1_5: 直方图规定化 (§5.1.2) -ch5_1_1: image linear transformation (§ 5.1.1) ch5_1_2: piecewise linear image transform (§ 5.1.1) ch5_1_3: the use of logarithmic transformation of the form of dynamic range compression function (§ 5.1.1) ch5_1_4 : Image histogram equalization (§ 5.1.2) ch5_1_5: Histogram of the provisions of (§ 5.1.2)
Date : Size : 6kb User : 汤跃峰

I ve made an aplication in matlab using GUI, where you can load an image(.jpg) and a file (.txt).
Date : Size : 86kb User : Alric

图像融合 分解层数 小波变换 多聚焦图像融合的最佳小波分解层数为5 层-Image fusion decomposition level wavelet transform multi-focus image fusion of the best wavelet decomposition of 5-storey low-rise
Date : Size : 104kb User :

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OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.- OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.
Date : Size : 2kb User : ltrko9kd
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