搜索资源列表
java_image_process
- java处理数字图像，包括镜像、中值滤波、线形灰度变化、图像平滑、图像模糊、图像还原、锐化、量化、二值化图像、边缘检测等-java digital image processing, including image, median filtering, linear gray-scale changes, image smoothing, image blurring, image reduction, sharpening, to quantify the binary image, edge
ImageProcessing_
- JAVA程序训练实验。建立10*10的随机灰度值图像，利用均值滤波算法进行滤波，并在控制台中输出。-Create a random image of 10*10 pixels and print it out. Then filter the image by using average filter algorithm which makes a new image of 8*8 pixels because the brim elements cannot be filtered due t
java-image-processing
- JAVA图像处理读取BMP图像、用RGB获取灰度信息、直方图均衡化、拉普拉斯2阶滤波、平滑锐化、增强滤波、局部阀值处理、全局阀值处理等-Java image processing to read the BMP image, obtained by RGB gray level information, histogram equalization, 2nd order Laplace filtering, smoothing, sharpening, enhanced filtering, p
java_Imagepros
- 基于java的数字图像处理源代码，包含了各种图像处理的基本程序，如灰度变换、二值化、形态学滤波、中值滤波等算法的实现，是学习使用java进行图像处理的良好教程-Java-based digital image processing source code, contains a variety of basic image processing program, such as gray-scale transformation, binarization, morphological filt
12306
- 干扰线去除判断比较挫是导致识别率低的原因，希望高手指点吧~后面的特征提取和训练识别就交给大家了~ （很不幸地告诉大家，上班前12306的验证码干扰又加强了，主要还是干扰线部分） 实现原理很简单： 1.图像灰度化与 二值化 2.去除干扰线（二值化在一定程度上已经消弱部分）-Interference lines to remove judge comparative setback is the reason for the low recognition rate, hope e
Graphic
- 简单的图像处理，可以实现灰度1，二值化，直方图均衡化等操作。-simple image processing
MainActivity1
- 安卓下图像处理，灰度化，二值化，直方图均衡化，边缘检测等。-Image processing, binarization, edge detection and so on
The-license-plate-recognition
- 该源码能够对采集的图像实现灰度化、拉格朗日算子边缘检测、图像增强、二值化等功能，其次能够对车牌图像进行初步定位和精确定位，最后再对车牌图像进行分割识别-The source to image acquisition to achieve gray, Lagrange operator edge detection, image enhancement, the value of the two functions, then to perform initial positioning and
otsu_2d
- 灰度图像的二维otsu曲线阈值分割法,matlab实现源代码-Otsu curves dimensional gray image threshold segmentation method, matlab source code
hw
- 数字图像处理一些东西，具有灰度化。二值化，直方图均衡化-Digital image processing something
featureextract
- 图形特征提取的源码，包括图像。可进行灰度值、中值虑波等操作。生成图像的特征集。-feature images feature imagesfeature imagesfeature imagesfeature imagesfeature images