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sfr2
- sfrmat is a Matlab function that provides a spatial frequency response* (SFR) from a digital image file containing a slanted-edge feature. The specific edge-gradient algorithm follows the intent of the standard ISO 12233, developed by Technical Commi
基于MATLAB的储粮害虫图像处理方法
- 摘要：在对粮虫图像处理过程中，介绍了Matlab图像处理工具箱中的函数，给出了图像处理与分析的技术实现, 边缘检测及轮廓提取, 通过形态学方法进行图像特征抽取与分析，达到了比较好的效果.-Abstract : In the right grain pest image processing, introduced the Matlab toolbox image processing functions, given image processing and analysis technolog
JAVA
- 基于JAVA实现的图像特征提取源代码 图像特征提取的源代码，使用sobel算子提取图像边缘，使用hu矩提取图像形状特征，使用颜色中心矩提取图像颜色特征，请使用eclipes导入该工程并运行test文件（可将test文件中去掉一些注释部分运行更多功能）。-JAVA based on the realization of the image feature extraction image feature extraction source code source code, use the sob
test1
- 水果图像识别，利用MATLAB进行图形的特征提取，边缘检测，阈值分割等-Fruit and image recognition, the use of MATLAB for graphics feature extraction, edge detection, thresholding, etc.
segmeeeeeeeeeeeeeee.tar
- A general technique for the recovery of signi cant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (includi
HoughTransformProgramlisting
- 利用Tough变换提取并检测小球边缘，实现该障碍物的特征提取，为机器人避障提供指导！-Tough transform the use of extract and detect the edge of the ball, the realization of the feature extraction of the obstacles for robot obstacle avoidance to provide guidance!
HoughObject
- Circles We can extend the Hough transform to other shapes that can be expressed parametrically. For example, a circle of fixed radius can be described fully by the location of its center (x, y). Think of each feature (edge) point on the circle
50
- 使用的特征提取和遥感图像增强Canny边缘检测器-Using the Canny edge detector for feature extraction and enhancement of remote sensing images
susan
- 摄影测量中用于特征点检测的一个Matlab程序。检测主要针对边缘来进行。-Photogrammetry is used to detect feature points of a Matlab program. Mainly carried out for the edge detection.
feature_extraction_face_GE
- An automatic facial feature extraction method is presented in this paper. The method is based on the edge density distribution of the image. In the preprocessing stage a face is approximated to an ellipse, and genetic algorithm is applied
code
- 基于matlab的虹膜边缘识别 包括边缘检测，归一化，用汉明矩进行特征匹配-Matlab on the edge of iris recognition, including edge detection, normalization, with Hamming moments feature matching
upload
- calculate of zernike momemt of figure. calculate of complex moment it use for extraction feature. edge detection find treshold-calculate of zernike momemt of figure. calculate of complex moment it use for extraction feature. edge det
edge_detection
- Edge detection is a feature of this Code and you can find out the edges of an image seamelessly using matlab by this code
bianyuan
- 模式识别中边缘直方图特征提取。。。。每张图片可以得到 一个80维的向量-Pattern Recognition Feature Extraction of Edge Histogram. . . . Each picture can get a 80-dimensional vector
edge1
- 边缘特征的匹配算法改进研究一篇不错的论文-Edge Feature Matching Algorithm of a good paper
feature_detection-using-corner-and-edge
- This program is used for feature detection using corner and edge detection
Apple-feature-extraction
- 苹果特征提取，按照灰度化，直方图均衡化，中值滤波，边缘检测，特征提取的顺序来 特征提取中，取得“比例系数”时，选择一张横径图片，序号与之前选择图像的相同-Apple feature extraction, according to grayscale, histogram equalization, median filtering, edge detection, feature extraction feature extraction in order to obtain "
Phog_libsvm_demo
- 利用此程序，可以对图片的边缘特征进行提取，进而进行图片的分类，并统计出分类的正确率。-With this program, you can picture the edge feature extraction, and then classify pictures and statistics of the correct rate of classification.
Edge-based-text-region-extraction-from-natural-im
- The basic steps of the edge-based text extraction algorithm are given below 1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel and successively down-sample each direction by half. (Levels: 4) 2. Create directiona
Sparse-Autoencoder
- 稀疏自编码是构成堆栈式自编码的基础，通过稀疏自编码可以提取图像的边缘特征。-Sparse coding constitute the basis of the stack self-encoded by sparse coding can be extracted the edge feature of the image.