搜索资源列表
D-FNN
- 模糊神经网络动态分类预测,可以用于语音,图像识别,可以用,很好-Fuzzy Neural Network Dynamic class prediction can be used, very good
Example1
- 运用神经网络对26个大写的英文字母进行识别,对英文字母进行一定的图像处理,之后用神经网络进行分类-The use of neural network 26 uppercase letters of the alphabet recognition, the letters of the alphabet for a certain image processing, followed by neural network classification
Example1Tr
- 运用神经网络对26个大写的英文字母进行识别,对英文字母进行一定的图像处理,之后用神经网络进行分类-The use of neural network 26 uppercase letters of the alphabet recognition, the letters of the alphabet for a certain image processing, followed by neural network classification
preprocess
- 运用神经网络对26个大写的英文字母进行识别,对英文字母进行一定的图像处理,之后用神经网络进行分类-The use of neural network 26 uppercase letters of the alphabet recognition, the letters of the alphabet for a certain image processing, followed by neural network classification
Igohd
- 图像梯度方向直方图描述子:,该方法使用梯度方向直方图(Histogram of Oriented Gradients,简称HOG) 特征来表达人体,提取人体的外形信息和运动信息,形成丰富的特征集,然后使 用支持向量机线性SVM 分类器对这些特征集进行训练。-Image gradient orientation histogram descr iptor
image-classification
- 基于图像的sift特征对六类不同的图片进行分类:打电话、跑步、骑自行车等。-Based sift feature images of six different pictures classification: phone calls, running, cycling and so on.
ColorStatistics
- c#图像颜色分类源码,对用c#做图像识别有帮助。-c# image color classification code, for use c# to do image recognition help.
rough-set
- 图像场景分类中视觉词包分类的应用与操作代码-Review of the bag-of-visual-words models in image scene classification
fruitvegtablerecognition_knn
- 基于KNN算法对多种水果和蔬菜图像进行分类识别,识别率较高。-Classifying a variety of fruits and vegetables images by using KNN algorithm.
classification
- 主要是对一些图像进行识别,通过分割达到分类的效果-Mainly for some image recognition, to achieve the effect by dividing the classification
siftSVM
- SIFT特征提取和SVM分类相结合进行图像识别,提高识别准确率-SIFT feature extraction and SVM classification combining image recognition, improve recognition accuracy
picture-processing
- 能够对多种纹理图像进行分类,用三种方法实现对图像的分类-Variety of texture images can be classified in three ways to achieve the image classification
lpp
- 图像处理与识别的分类算法的功能函数LPP(局部保持投影)-Image processing and identification of the classification algorithm of the functional function LPP (local preserving projection)
PCA
- 图像处理与识别实现分类算法功能的函数PCA(主成分分析)方法-PCA (principal component analysis) function of image processing and recognition to achieve classification algorithm
online-multiclass-lpboost-master
- online-multiclass-lpboost-master能够很好地实现在线分类识别,对于文字和图像识别等由很好地效果。-online-multiclass-lpboost-master can achieve a good online classified recognition for text and image recognition and other effects the well.
BagOfWordsDEMO
- BAG OF WORDS算法应用于图片分类。图像特征用sift算法描述,分类机利用了libsvm方法。-BAG OF WORDS algorithm is applied to image classification. Image features using sift algorithm descr iption, classification machine utilizes libsvm method.
K-means--C
- 运用k_means 聚类算法 对图像进行分类识别 c语言代码-Using k means clustering algorithm for image classification to identify c language code
shangchuan
- 模式识别中图像识别分类MATLAB源代码,可直接运行,对图片中的不同水果进行有效区分 -Pattern recognition image recognition classification MATLAB source code, can be run directly on the image of the different fruits to effectively distinguish
MAERJIANCE
- 场景图像中文本占据的范围一般都较小,图像中存在着大范围的非文本区域。因此,场景图像文本定位作为一个独立步骤越来越受到重视。这包括从最先的CD和杂志封面文本定位到智能交通系统中的车牌定位、视频中的字幕提取,再到限制条件少,复杂背景下的场景文本定位。与此同时文本定位算法的鲁棒性越来越高,适用的范围也越来越广泛。文本定位的方式一般可以分为三种,基于连通域的、基于学习的和两者结合的方式。基于连通域的流程一般是首先提取候选文本区域,然后采用先验信息滤除部分非文本区域,最后根据候选文本字符间的关系构造文本
chapter29
- 《MATLAB 神经网络个案例分析》,可以实现对图像进行分割,去噪,识别和分类。-" MATLAB neural network 43 case studies" can be achieved on image segmentation, de-noising, identification and classification.