资源列表
FCM-C-mean-cluster-segment-[matlab]
- 模糊C均值聚类的matlab实现，模糊C均值聚类是一种利用模糊数学做的聚类方法，属于图像分割的一种。可利用聚类结果用于图像分析和识别。-FCM,C mean cluster segment [matlab].rar
color-image-segment-code
- 这是一个关于彩色图像分割的报告，内含源代码及处理结果等，图像分割采用K-mean聚类分割方法。-K-mean cluster segment
RI_lrt
- 图像的变化通常没有先验信息，或者即便有也很难用参数模型描述它，当两者都知道时，我们可以得到分布的似然比，构造比检验。-Image changes often do not have a priori information, or even if there is difficult to describe it with the parameter model, when both are known, we can get the distribution of the likelihood
A200904-59
- 本文讲述了图像处理中信号灯的自动识别。非常有用。-This paper describes the image processing in the signal lamp automatic recognition. Very useful.
svd
- 基于svd的数字水印，信噪比比较高-Svd based digital watermarking, can also signal to noise ratio is relatively high
Bilateral-Filtering
- 提出利用双边滤波方法去除图像噪声与保持边缘，非常经典的一篇文献，做图像去噪，重建等工作的都可以参考。-Proposed the use of bilateral filtering to remove image noise and to keep the edge of a very classic literature, do image denoising, reconstruction work can refer to.
Frame-difference-Detection
- 很好的基于帧间差分的目标跟踪检测算法matlab代码，里面含有测试视频！-Good target tracking based on frame difference detection algorithm matlab code, which contains a test video!
FPGAtuxingchuli
- 为了实现图像的实时处理，常采用现场可编程门阵列FPGA对采集到的图像数据进行预处理。以对 Micron MT9V112传感器的Bayer图像数据处理为例-In order to achieve real-time image processing, often using field programmable gate array FPGA the collected image data pre-processing. To Bayer for Micron MT9V112 image
fitellipse
- 本程序实现的功能是对离散的点进行椭圆拟合运算。-The function of this program is to achieve the discrete points of ellipse fitting operations.
SDH_S
- POLSAR 影像SDH分解，利用S矩阵，分解成三个分量，球、二面角和螺旋体-POLSAR image, SDH decomposition, the use of S-matrix, decomposed into three components
array2
- 能够提取一幅图片的不变矩特征值，方便大家学习图像识别方面的开发技术-Able to extract a picture of the moment invariant features of value, to facilitate learning in the development of image recognition technology
lfx
- 利用Visual C++编程技术实现数字图像处理图像的各种基本技术，主要包括以下几点： 1、BMP格式图象的显示：直接显示和打点显示。 2、几何变换：平移，旋转，镜象变换，转置，缩放。 3、正交变换：包括傅立叶变换、沃尔什变换、离散余弦变换和离散余弦反变 换等。 4、图象增强：包括空域增强（直接灰度变换、直方图处理、图像平滑，均值滤波，拉普拉锐化等）和频域增强（理想低通、巴特沃斯低通滤波）和伪彩色增强。 5、图象复原：卷积模糊、卷积模糊+噪声、椒盐噪声、随机噪声、逆滤波复