Itti-Matlab

特征提取: 提取了图像中各个标记区域的纹理特征及形状特征,标注详细(King Lek qiong 取: Joan 取了 Minghao Shilu rude plugging 各个标记区 的 理 Canton King Lek Lek 及 near Durian King, 标 downtown Circle Jiu)

介绍了一些图形图像处理的基本方法，实验方案以及实验结果及代码等。(Graphics and Image ProcessingGraphic image processing )

K-meansK均值聚类在无监督的情况下选择图像特征的算法(K-meansK means clustering in the case of unsupervised image feature selection algorithm)

说明：  平台基于visual studio2015，使用opencv函数实现中值滤波，进行图像处理(median blur based on opencv)

这是三维点云数据边缘线提取的c++算法，适合于LIDAR数据的三维处理，供大家参考学习(This is 3 d point cloud data edge extraction of c++ algorithm, suitable for LIDAR data 3 d processing, provide everyone reference to study)

说明：  基于卡尔曼滤波的camshift算法，实现目标跟踪(CAMSHIFT algorithm based on Kalman filter for target tracking)

本代码实现了对高光谱遥感图像进行混沌序列置乱加密，其中包括读取三维立体遥感图像、混沌加密以及灰度直方图绘制(This code implements the hyperspectral remote sensing images chaotic sequence of scrambling encryption, including reading the three-dimensional sensing image, and histogram drawing Chaotic Encryption)

基于最大熵的图像分割阈值处理程序（单阈值）(Based on Maximum Entropy Image Segmentation threshold process (single-threshold))

自己编写的数字图像处理程序，包括打开bmp图像，直方图，阈值分割，形态学处理等功能。(digital image processing procedures, including open bmp image, histogram, threshold segmentation, morphological processing and other functions.)

针对分水岭算法存在的过分割问题以及VCH-F1切片图像的特点，提出一种能够有效消除局部极小值和噪声干扰的自动分割方法。首先比较彩色分量梯度图，选择分量图像的梯度信息，达到有效提取图像边缘信息的目的；然后提出基于多阈值分割的方法消除无效梯度信息；最后介绍了算法的步骤及结果。实验结果证明，通过该方法处理的梯度图像再进行分水岭算法处理，即使不进行区域合并也能达到很好的效果。(Watershed algorithm for over-segmentation problem of the existence of VCH-F1 as well as the characteristics of the image slice, a can effectively eliminate the local minimum value and noise automatic segmentation method. Comparing the first color component gradient map, select the quantity of image gradient information, achieve an effective extraction of image edge information purposes then made based on multi-threshold segmentation method to eliminate invalid gradient information Finally introduce the steps of the algorithm and results. Experimental results show that the adoption of the method of treatment of gradient watershed algorithm for image re-treatment, even if there is no regional merger will also achieve good results.)