搜索资源列表
BayesianClasser
- 贝叶斯分类器matlab版，可以用于图像分类，检索，模式识别相关工作-bayes classifier is useful to image classify
GAclassify
- 利用遗传算法对图像进行分类处理，包括遗传的思想和实现，以及在图像方面的应用。-The use of genetic algorithm to classify the image processing, including genetic and realization of the idea, as well as the application of the image.
featureextraction
- 图象 处 理和模式识别中经常根据物体的形状来识别物 体或对物体进行分类。形状特征可以分为区域特征和边界特 征两大类，矩不变量是最基本的形状特征。Hu提出的矩不变 量是图象区域内部细节的描述，是一种区域特征。它是建立 在对一个区域内部灰度值的统计分析基础上的，需要目标区 域的所有象素参与运算-Image processing and pattern recognition are often based on the shape of objects to identify o
Classify
- 简单的一段小程序 有关于图像识别技术的-Simply a small program on the image recognition technology
project3
- 使用BP神经网络来识别彩色图像的类. 自己取采样样本-apply the backpropagation neural network to classify a color image you choose. You need to determine the number of classes and select the training samples by yourself.
MLC
- this program classify image that take with TM sensor to 3 class using maximumlikelihood method. ENJOY it-this program classify image that take with TM sensor to 3 class using maximumlikelihood method. ENJOY it...
Classi
- to classify shape of image
MATLAB-Image-classify
- 识别图像中的矩形，正方形，圆，椭圆，线，点，菱形-Identify the image rectangle, square, circle, ellipse, line, point, diamond
paper1
- Gabor小波变换技术对医学CT图像进行纹理特征分类时，由于图像拍摄角度的变化会造成分类的误差。针对以上问题，在Gabor小波变换的基础上提出一种用于分析旋转不变医学图像的方法。该方法采用旋转规范化，即特征元素的循环移位使规范化后所有的图像都具有相同的主方向。实验结果表明，加入旋转规范化循环算子的Gabor小波变换在医学CT图像纹理特征分类时能够达到较好的精确度。-Gabor wavelet transform lacks in its ability to classify the medic
classify
- Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutuall
ocr-project
- The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extracti
classifi
- Pixel classification code using K-Nearest Neighbor Classifier.Here three pixel values of color image are taken as training sample.Color based segmented image was used to classify the object into three classes.-Pixel classification code using K-Neares
HellokinectMAT
- 感知行为的影响因素包括单个关节的动作和不同关节的组态。因此提出一种新的基于关节的位置差异的特征类型，联合包括静态姿势、动作、位移在内的行为信息进行识别。采用关节在两个时间和空间区域的差异来明确地模拟个别关节动力学和不同关节的组态。然后应用主成分分析（PCA）来获得所需的特征。同时应用非参数的简捷的贝叶斯最近邻（NBNN）分类器进行多类行为的分类。这个NBNN分类器避免了帧描述符的量化，计算“图像到类别”的距离而不是“图像到图像”的距离。15到20帧的数据就足以实现手势以及动作的识别，无需应用整个
vTexture
- Segmentation-based fractal texture analysis to classify different image textures.
BP
- 用BP神经网络对红细胞、白细胞、杆菌和盐结晶图片进行分类。使用Matlab自带函数。内附图像数据。-To classify four kinds of cell images using Matlab library. With image data inside.
AIRSAR_SanFrancisco
- 对旧金山海岸的极化SAR数据进行分类。根据图像像素点的散射特性采用Freeman分解对图像进行分类，利用wishart聚类算法聚类。最后得到极化sar数据的分类结果。保证了图像的极化特性和散射特性-Polarimetric SAR data to classify the coast of San Francisco. Freeman decomposition using the image classification, clustering clustering algorithm bas
C4_5
- 这是分类树的C4.5算法分类，算法比较简单，但是运行高效，可以对图像进行分类-This is the classification tree C4.5 algorithm classification, the algorithm is relatively simple, but the operation is efficient, you can classify the image
Shape-Recognation
- Objective - The program should recognize objects like circles, rectangles, and squares the input image. Introduction This is a shapes classifier based on the properties of each shape, like roundness, ratio of dimensions, centroid,?et
Demo2_ImageClassifiction
- 使用Matlab深度学习工具箱-googlenet 图像分类(Using GoogLeNet to classify images using deep learning toolbox)
Detection-system-of-skin-diseases-using-image-processing-master
- To classify four types of skin diseases such as Dermatitis, Melanoma, Diabetic foot ulcer, Impetigo,2 types of ML algorithms KNN and SVM are used. To get a visual representation of classifier output the ROC curve is plotted. To measure the performanc