资源列表
Landsat5_Calibration
- 用于Landsat5 TM数据的辐射定标(Calibration for Landsat TM data using IDL)
深度学习与计算机视觉代码
- 《深度学习与计算机视觉》配套代码，对深度学习入门与提高有帮助。("Deep learning and computer vision" supporting code for the introduction and improvement of the depth of learning help.)
aaa
- 波形图表多次更新程序框图中包括While循环，For循环，移位寄存器，加法函数，除法函数，正弦函数，余弦函数，捆绑函数，多次更新（单条曲线）为正弦函数的波形图表，多次更新（多条曲线）为正弦函数和余弦函数的波形图表。移位寄存器中的数加For循环的次数，除以10后作为正弦函数和余弦函数的输入。输出经过捆绑后，连接多条曲线的波形图表。(Multiple updates of the waveform chart)
Image fusion
- 采用了小波变换的方法实现了红外光图像与可见光图像的融合，并且设计了一个简单的matlab GUI界面。小波变换的分解层数为2层，采用低频平均高频取大的融合规则，融合效果非常欢迎下载。(The method of wavelet transform is used to realize the fusion of infrared and visible light images, and a simple matlab GUI interface is designed. The number
xijunshu
- 在噪声较大的图像中，经过一系列的滤波、开闭运算及二值化处理，提取细菌轮廓，并判别出细菌数目。(After a series of filtering, opening and closing operations and two values, the bacterial contour was extracted and the number of bacteria was identified.)
csharptuxiangchuli
- C# 图像处理含源码, 包括对图像的灰度，锐化，减噪等处理。希望能帮到需要的人(C# image processing contains source code, including the processing of image gray, sharpening, noise reduction and so on)
51CTO下载-C#图像处理、神经网络、遗传算法集
- C#图像处理、神经网络、遗传算法集.对学习CSharp 图像处理的人很有帮助，希望可以帮到(C# image processing, neural network, genetic algorithm set)
AForge.NET Framework-2.2.5
- c#图形图像处理库文件，非常好用。大家可以试试(C# graphic image processing library files, very good use.)
watershedSeg-master
- 将分水岭算法用于图像分割，将深度图像数据集成到标记控制的分水岭RGB图像分割算法中(watershed algorithm image segmentation INTEGRATING DEPTH IMAGE DATA INTO MARKER CONTROLLED WATERSHED RGB IMAGE SEGMENTATION ALGORITHM Onur Olgac, Cihan Avci)
renqunfenxi
- 光流法可以获得每帧图像的光流值，然后焓值法可以获得每一帧图像的能量焓值(The energy enthalpy of each frame can be obtained.)
机器视觉
- 单目视觉从图像中求取物体长度；多目视觉求基础矩阵并画极线；摄像机标定(The length of the object is obtained from the image by monocular vision; the multiocular vision is used to find the basic matrix and draw the pole line; the camera calibration is calibrated.)
第 05 章 基于阈值分割的车牌定位识别
- 基于阈值分割的车牌定位识别，包括分割，识别，定位(License plate location identification, including segmentation, recognition and location)