搜索资源列表
Optical_Character_Recognition
- The aim 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 extractio
Classify
- 图像识别算法。对图像中不同的对象进行分类识别。如三角开，四边形，五边形等。-Image recognition algorithm. The image objects of different classification. Such as the triangle open, quadrilateral, pentagon and so on.
gist
- 对图像Gabor特征的提取，一个非常有效的特征,并用SVM对图像进行分类-get the gabor feature of a image,a very effective feature，and use SVM to classify the pictures
fsvmPpca-face-Recognition
- 首先用PCA对ORA人脸图像降维，然后用模糊支持向量机对提取的特征向量进行分类，识别率较高。-First using PCA for dimensionality reduction ORA face image, and then use fuzzy support vector machine to classify the extracted feature vectors, the recognition rate is higher.
classify
- 车牌标志图像进行处理后，通过特征判别进行图像分类-Mark the license plate image processing, through the feature discriminant for image classification
Classify
- 图像形状识别 识别圆形 椭圆形 正方形 矩形-Circular oval square rectangular image shape recognition recognition
mypro_web
- 查找与图片库中的图片形状和颜色相近的图片。 查找匹配流程：先建立图片库特征库文件（custom classifier7.clf）,特征包括形状因子、颜色直方图。核心函数是：IMAQ Particle Analysis，IMAQ ColorLearn，IMAQ Add Custom Sample。再打开菜单中“普通匹配”，可选择“打开待匹配图片”或通过摄像头“抓图”匹配。在testSamplePic文件夹中，有些待匹配图片可供测试。如通过摄像头需先在菜单中注册。主要函数有IMAQ Class
DAP_OSR
- 代码主要实现了零样本图像分类中的直接属性预测模型。在没有训练样本的情况下对其进行分类。-Code mainly realize the zero sample image classification of direct property prediction models. In case of the absence of training samples to classify them.