搜索资源列表
FaceDetection
- 图像预处理包括图像平滑、图像分割、二值化、图像形态学处理和轮廓提取。轮廓提取是使用八邻域边界跟踪算法。在手势的特征提取部分，使用边界傅立叶描绘子的手势特征提取算法。针对手势的识别，采用了基于 BP 神经网络的识别方法-Image pre-processing, including image smoothing, image segmentation, binarization, morphological image processing and contour extraction.
MyOpenCVConsole
- 常用的opencv图像特征提取算法。包括直方图、边缘检测、角点检测、直线提取、圆形提取等。并包括不太成熟的BP神经网络识别纯底色数字。-Commonly used opencv image feature extraction algorithm. Including histograms, edge detection, corner detection, line extraction, circular extraction. And includes less mature pure b
hand-label
- 道路场景识别，通过对样本图像处理和特征提取，再通过bp神经网络进行学习，最后通过学习后得到的权值进行样本识别。-Road scene recognition, through the sample image processing and feature extraction, and then through bp neural network learning, and finally by learning the weights obtained after the sample ide
backprop
- bp神经网络的算法实现，主要用于分类，检测等，很有效的方法。-bp neural network realization algorithm for classification and testing
IDcard
- 基于opencv的身份证号码识别，识别使用BP神经网络-Opencv identification number identification based on BP neural network recognition use
BP
- 该文件通过一个实例，展示了如何用openCV中的函数实现神经网络。-The document, an example to show how to implement neural network with openCV the function.
drace-IDE
- 介绍有关GA遗传算法结合BP神经网络的经典文章及应用(About genetic algorithm GA combined with the classic articles and application of BP neural network)