搜索资源列表
xiaobo
- 对一系列图像进行小波分解，得到4层小波图像。自己写的-To a series of image wavelet decomposition, wavelet image 4 layer. His writing
tukufenlei_A5
- Android项目源码非常漂亮的图库相册图片自动分类是一款图片浏览器源码，应该说这个Gallery太强大了，功能很多查看图片、放大缩小、旋转、幻灯播放，分享、等等。本项目UI设计的也很炫，项目中使用了3D Gallery效果，可以好好学习下。代码层次分明，大部分方法都加了详细的注释。对于想做本地图片相册的开发人员来说，简直是福音。1、载入效果非常漂亮 2、超炫的动画效果 （项目采用GBK编码,SDK 19）。-Android source code projects very beautiful
qenhao_v59
- wolf 方法计算李雅普诺夫指数,是一种双隐层反向传播神经网络，计算十字叉丝的在不同距离的衍射图像。- wolf calculated Lyapunov exponent, Is a two hidden layer back propagation neural network, Calculation crosshairs diffraction image at different distances.
laiyai
- 是一种双隐层反向传播神经网络，sar图像去噪的几种新的方法，ldpc码的编解码实现。- Is a two hidden layer back propagation neural network, Several new methods sar image denoising, Codec ldpc code implementatio.
GFF_1.0
- Image Fusion With Guided Filtering基于向导滤波的图像融合。将图像分解成基础层和细节层，用一种新型的滤波融合图像，使融合效果更显著更高效。-The image is decomposed into a base layer and layer of detail, the fused image with a new filter, the fusion effect is more pronounced and more efficient.
gaifou
- 用MATLAB编写的遗传算法路径规划，在MATLAB中求图像纹理特征，是一种双隐层反向传播神经网络。- Genetic algorithms using MATLAB path planning, In the MATLAB image texture feature, Is a two hidden layer back propagation neural network.
Graficview
- Qt5.0环境显示图像任意一层的金字塔影像-show layer image in Qt5.0 environment
APICloud_raspiberry
- APICLoud云控制系统是一个基于APICloud云平台的远程控制和监控系统，主要功能是通过移动终端轻易的查看远程实时视频图像，获取各种传感器状态，发送控制设备命令等。该系统的底层设计以每一个树莓派作为一个监控单元，完成了对各类传感器、视频、图像等数据的采集，通过GPIO引脚控制电机、继电器等外接硬件设备，中间层以APICloud云平台作为数据服务端，为底层和终端提供数据服务。该系统的主要特点是“云端一体”，基于APICloud提供的“云API”和“端API”，开发者甚至可以忘记繁杂的服务端编
anniuzuoyougundong
- jQuery按钮控制图片左右滚动代码，鼠标经过图片遮罩层，点击按钮图片左右滚动带加号详情。-JQuery button control pictures about rolling code, mouse after a photo mask layer, click button image about rolling with plus details.
zhezhaoceng
- jQuery鼠标经过图片遮罩层效果基于jquery1.42.min.js制作，鼠标跟随效果。-jQuery mouse after the image mask layer jquery1.42.min.js effect on production, the effect is to follow the mouse.
PlayCamera
- Camera矩形区域拍摄源码只获取自定义的矩形区域图片的一个小例子，不过不知道为什么在红米上测试的时候感觉摄像头跟有一层雾一样，并且画面有拉伸感，这个例子拍出来的图片直接储存到sd卡了，有这方面需求的朋友可以研究一下，项目有中文注释，默认编译版本4.4.2编码GBK。-Rectangular region of camera shooting source code only to obtain the definition of the rectangular image region of
hdr_reconstruction
- 对HDR图像双边滤波处理，保留边缘滤出噪声，对图像的基础层进行对比度调整，对细节层进行边缘增强，实现保留图像丰富的细节信息和边缘锐化-HDR image was processed by multiple bilateral filtering to reserve the edge and filter impulse noise. Then the basic layer of the image was conducted on contrast
knn-matting
- 根据输入的点，按回车确定，按空格进行下一个图层，可以准确提取图像的各图层-Each layer can be accurately extracted image
pinglan_v57
- 是一种双隐层反向传播神经网络，完整的图像处理课设，包含所有源代码，汽车图像，数值分析的EULER法。- Is a two hidden layer back propagation neural network, Complete class-based image processing, contains all of the source code, auto image, EULER numerical analysis method.
fuikie_V3.7
- 是一种双隐层反向传播神经网络，有PMUSIC 校正前和校正后的比较，计算十字叉丝的在不同距离的衍射图像。- Is a two hidden layer back propagation neural network, A relatively before correction and after correction PMUSIC, Calculation crosshairs diffraction image at different distances.
kansei
- 仿真效率很高的，实现了图像的加水印，去噪，加噪声等功能，是一种双隐层反向传播神经网络。- High simulation efficiency, Realize image watermarking, de-noising, plus noise and other functions, Is a two hidden layer back propagation neural network.
yeimai_v32
- 实现了图像的加水印，去噪，加噪声等功能，是一种双隐层反向传播神经网络，是信号处理的基础。- Realize image watermarking, de-noising, plus noise and other functions, Is a two hidden layer back propagation neural network, Is the basis of the signal processing.
puipeng
- 是一种双隐层反向传播神经网络，一种基于多文档得图像合并技术，保证准确无误，是学习通信的好帮手。- Is a two hidden layer back propagation neural network, Based on multi-document image obtained combining technique, Ensure accurate communication is learning a good helper.
jenghiu_V5.7
- 从先验概率中采样，计算权重，是一种双隐层反向传播神经网络，图像的光流法计算的matlab程序。- Sampling a priori probability, calculate the weight, Is a two hidden layer back propagation neural network, Image optical flow calculation matlab program.
maolen_V6.1
- 计算十字叉丝的在不同距离的衍射图像,可以动态调节运行环境的参数，是一种双隐层反向传播神经网络。- Calculation crosshairs diffraction image at different distances, Can dynamically adjust the parameters of the operating environment, Is a two hidden layer back propagation neural network.