搜索资源列表
Prewitt2008
- 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 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象
imageproj
- 原创图片检索程序。选择一张图片以及一个图片文件夹，提取图片特征，使用R树进行查询。请在vc8以上环境打开此工程。
c第二章 matlab语言基础h2
- 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 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象-with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water
Rec
- 基于OPenCv的几何图形识别，对几何图形进行识别。通过结构树进行识别-Based on the geometry OPenCv identification, identification of the geometry. Through the trees to identify
Hierarchicalpalmprintrecognition
- 层次结构的掌纹识别算法实现的详细过程描述，第一层为主纹线特征，第二层为双树复小波特征。-Hierarchical palmprint identification algorithm described in the detailed process, the first floor features the main ridge, the second layer DTCWT features.
BasedonWaveletDomainHiddenMarkovTreModelImageSegme
- 基于小波域隐马尔科夫树模型的图像分割-Based on Wavelet Domain Hidden Markov Tree Model Image Segmentation
3
- ###基于神经树的英文字符识别技术研究.pdf 很棒的论文资料-### Based on the English character recognition neural tree research papers pdf
dtree
- C语言实现的决策树算法，广泛应用在模式识别中-C language implementation of the decision tree algorithm, widely used in pattern recognition
houghtreeobjectre
- 这是一个关于hough树的编码进行目标的识别，速度很快，能够有15帧的速度。-this is a hough tree coding for object recognition,Rapid speed,it could reach 15 frames per second.
Scene-Classification
- 提供了三类场景“bedroom”、“CALsuburb”、“industrial”的样本特征集以及原始图像，分别用线性分类器、树状分类器、SVM分类器以及AdaBoost分类器对其进行区分。其中AdaBoost分类器有部分内容调用了Vezhnevets Alexander编写的源码-Provides three types of scenes " bedroom" , " CALsuburb" , " industrial" sample fea
(7)TS_MRF
- Matlab代码程序树结构化MRF图像分割 马尔可夫随机场-MRF segmentation of the tree structure
ctwsource
- 实现上下文树加权算法的完整代码，有对数据压缩感兴趣的可以参考一下-This is the complete code of context tree weighting algorithm,who is interested in image Compression can refer to it.
kd-tree
- KD-Tree是一种由二叉搜索树推广而来的用于多维检索的树的结构形式-KD-Tree is a binary search tree by a promotion the tree is used to retrieve the multidimensional structure
binary_decision_tree_v1.0
- 实现图像分类，基于二元决策树模型,代码通俗易懂-Realization of image classification, based on the binary decision tree model straightaway code
1
- 机器学习的决策树算法，matlab编写。适合初学者对决策树算法有初步的认识。-Decision Tree Algorithm machine learning, matlab prepared. Suitable for beginners to have a preliminary understanding of the decision tree algorithm.
CART
- 这是决策树的改进方法,用Matlab编写的,可以直接在matlab中使用!- This is the decision tree improvement method, using Matlab prepared, can be used directly in the matlab!
ImageRetrieval
- ImageRetri （C++_毕业设计） sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持-ImageRetri Color histogram, gray matrix, HU invariant moment, edge direction histogram, retri method using K-means and K-D tree two, need OPENCV support (C++ _ gradu
2.source_code
- 基于决策树的手写字符识别，动态识别输入的笔画顺序，位置等，类似于在线字符识别，具有较高的准确率。可以在QT打开。-handwriting charactor recognition based on random forests.
mininv_Matlab_prepared
- 用matlab编写的CART数据挖掘决策树算法 很好的 可以-Matlab prepared by the CART decision tree data mining algorithm is very good