Description: 一个matlab做的图象处理程序.
P0801：索书号文字图像分割
P0802：粘连字符切分
P0803：文字识别
P0804：彩色车牌分割
P0805：商标文字分割
Recognition：文字识别的识别子函数
StrDetect01：文字识别的结构特征提取子函数-A matlab to do the image processing procedures. P0801: Call Number text image segmentation P0802: adhesion character segmentation P0803: Character Recognition P0804: Segmentation of color plates P0805: text segmentation trademarks Recognition: Character Recognition Recognition Functions StrDetect01: Text Recognition Structural Feature Extraction Functions Platform: |
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Author:嘉川 |
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Description: MATCHBYCORRELATION - match image feature points by correlation.Function generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point. Only points that correlate most strongly with each other in *both* directions are returned. This is a simple-minded N^2 comparison. -MATCHBYCORRELATION- match image feature points by correlation.Function generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point. Only points that correlate most strongly with each other in* both* directions are returned. This is a simple-minded N ^ 2 comparison. Platform: |
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Author:wugang |
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Description: 图像的组成无非是一些字符串或者一些字节组成的字符串，然而，每一个字节数据位的重要度并不是一样的，两个相邻字节往往只有低位是不一样的。例如：00100110和00100111代表了两个不同渐变度的红色，但是就人眼是分辨不出来的。最低有效位LSB算法，就是利用这一点，达到图像压缩，或者数字水印的功能。-The composition of the image is nothing more than some number of bytes or string composed of string, however, one byte for each data bit is not an important degree of the same, often only two adjacent low-byte is not the same. For example: 00100110 and 00100111 represent the gradient of two different degrees of red, but on the human eye is not out to tell. Least significant bit LSB algorithm, is to take advantage of this point, to achieve image compression, or digital watermark feature. Platform: |
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Author:xlz |
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Description: 影像特征提取是影像匹配和三维信息提取的基础,是影像分析与单像处理技术领域中最重要的任务之一。有效的特
征提取算法是影像分析与处理的关键。从点特征定义出发,叙述了两种常用的点特征提取算子———Moravec算子和Forstner
算子的原理,利用Moravec算子和Forstner算子可以实现影像点特征的提取,并从提取点特征的准确度、提取速度对两种算子
进行比较,最后得出了有益的结论。-Image feature extraction and image matching are three-dimensional information extraction is based on image analysis and single-treatment technology as the most important tasks. Effective feature extraction algorithm for image analysis and processing are the key. Characteristics from the point of definition, describes the two commonly used feature extraction operator points--- Moravec operator and Forstner operator principle, using Moravec Operator and Forstner operator can realize image feature extraction point, and from the extraction point characteristics of accuracy, speed of extraction operator to compare the two, and finally arrive at a useful conclusion. Platform: |
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Author:刘镖峰 |
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Description: 利用sift算法提取图像特征点，为进一步实现图像间的匹配做准备。-Sift algorithm using image feature extraction point for the further implementation of the matching between images ready to do. Platform: |
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Author:季全 |
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Description: 一本有关特征提取和图像处理的，绝对经典！-One of the feature extraction and image processing, an absolute classic! Platform: |
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Author:zuo |
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Description: 基于SIFT的图像配准程序
SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力-SIFT-based image registration procedure is the SIFT feature matching algorithm for matching feature points at home and abroad a hot area of research and the difficulties in matching their ability to deal with translation between two images, rotation, affine transformation to match the case of problems, and even to some extent in any angle images will also be able to match the characteristics of a more stable capacity Platform: |
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Description: K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm Platform: |
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Author:renli |
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Search - image feature matlab