搜索资源列表
-
1下载：
主要是自己针对图像中的骨架化边缘特征提取，以及最小矩形的提取。有实际使用价值-Mainly in their own image for the edge of the skeleton of the feature extraction, and extraction of the smallest rectangle. Actual use value
-
-
0下载：
图像分割程序源码代码说明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P08805：商标文字分割Recognition：文字识别的识别子函数StrDeteect01：文字识别的结构特征提取子函数 可直接使用。
-Image segmentation program source code Descr iption P0801: Call text image segmentation P0802: adhesion character se
-
-
0下载：
基于gabor小波变换的图像检索程序序。有特征提取、特征匹配，以及结果返回。
-Gabor wavelet transform-based image retrieval program sequence. Feature extraction, feature matching, and results are returned.
-
-
0下载：
文字图像识别：索书号文字图像分割；粘连字符切分；文字识别；彩色车牌分分割；商标文字分割；文字识别的识别子函数；文字识别的结构特征提取子函数
-Text image recognition: Call text image segmentation Touching Character Segmentation character recognition color license plate sub-division trademark text segmentation char
-
-
0下载：
程序源码代码包含：索书号文字图像分割，粘连字符切分，文字识别，彩色车牌分割，，商标文字分割，文字识别的识别子函数，文字识别的结构特征提取子函数
-Call text image segmentation program source code contains: the adhesion character segmentation, character recognition, color license plate segmentation trademark text segmen
-
-
0下载：
是关于人脸识别与特征提取的图像处处理的c++程序源码
-On the face recognition and feature extraction, image processing c++ program source code
-
-
0下载：
包括详细讲解与源代码，目的是将一幅图像中的数字识别出来，图像中数字有一定的倾斜角度，且各个部分光照不均，数字大体分布位置相同。作者根据图像的这些性质，对图像进行分析，写出了识别数字的一个算法，该算法法先对图像进行尺度变换，将倾斜的图像正立，同时提取图像中的数字部分，再对数字进行特征的提取，最后确定所识别的是哪一个具体数字。在识别过程中，由于数字的特征不同，识别难度也不同，因此识别时有顺序区别，遵循
-Explain in detail with the source code, objec
-
-
0下载：
基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。-OPENCV based SIFT feature extraction and matching algorithms. Extracted from the image Gaussian pyramid, DOG, space extremum point contains a complet
-
-
0下载：
基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。-OPENCV based SIFT feature extraction and matching algorithms. Extracted from the image Gaussian pyramid, DOG, space extremum point contains a complet
-
-
0下载：
基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述。-OPENCV based SIFT feature extraction and matching algorithms. Extracted from the image Gaussian pyramid, DOG, space extremum point contains a complete descr iption of key points.
-
-
0下载：
确定车辆牌照在原始图像中的水平位置和垂直位置,从而定位车辆牌照,然后采用局部投影进行字符分割。在字符识别部分,提出了在无特征提取情况下基于支持向量机的车牌字符识别方法-Determine the horizontal position and vertical position of the vehicle license in the original image to locate the vehicle license, then the local projection characte
-
-
0下载：
image segamentation & feature extraction
-
-
0下载：
提取位图的特征，包括projection features；peripheral features；cross count features；图像识别的预处理步骤，用C++实现。-The extraction characteristics of the bitmap, including Projection Features Peripheral Features Cross count features the image recognition pretreatment step,
-
-
0下载：
静脉指纹识别，实现了裁剪，图像预处理，特征提取，匹配等功能-Vein fingerprint recognition, to achieve a crop, image preprocessing, feature extraction, matching, etc.
-
-
0下载：
视觉图像处理研究者必看的有用代码。包括图像预处理，特征提取，算法实现，特征整合等等代码。-Visual image processing researchers must-see useful code. Including image preprocessing, feature extraction, algorithm, feature integration, etc. code.
-
-
0下载：
This code for Haralick feature extraction for image in matlab. The basis for these features is the gray-level co-occurrence matrix. This matrix is square with dimension Ng, where Ng is the number of gray levels in the image. Element [i,j] of the matr
-
-
0下载：
BIC颜色特征，广泛应用于图像检索，图像追踪等领域，BIC特征提取颜色直方图-BIC color characteristics, widely used in image retrieval, image tracking and other fields, BIC color histogram feature extraction
-
-
0下载：
关于帧差法的特征提取的代码，用于图像识别，和图像分割-On the frame difference method for feature extraction code for image recognition, image segmentation and
-
-
0下载：
Colourhistogram
II. TEXTURE FEATURE EXTRACTION IN CBIR
An overview of the proposed CBIR system is illustrated
in Fig. 1. The proposed algorithm, Label Wavelet Transform
(LWT), is based on color image segmentation [1], and it is
an extens
-
-
0下载：
HSF processes the distorted image ˜ x by M filters chosen to improve the image quality for regions with different characteristics. At each pixel,
a feature vector yn is computed using local image data. The feature vector is then used to determi
-
