ImageRestore2

基于IHS的图像融合算法,用高分辨率图像替换I分量(Based on the IHS image fusion algorithm using high-resolution images to replace I-component)

说明：  对图像进行行列循环加密，采用的是3维混沌系统来增强图像加密的安全性(The 3-D chaotic system is used to enhance the security of image encryption)

VB像素光影跟踪（图像渲染）工具,有需要的就下载吧。(VB Tracking pixel lighting (image rendering) tools, there is a need to download it.)

车牌识别，图像分割出车牌，然后进行具体识别，matlab源代码(vehicle license plate recognition)

说明：  本代码可以载入超声图像，然后通过标注连通区域，自动截取最大连通区域对应的图像部分，达到去除四周标注的目的(After loading the ultrasonic image, the image part can be automatically cut off to remove the surrounding annotation)

统计图像中某区域在整个图像中所占的百分比.(comput the percentage of the gived area in the whole image)

采用基于RL(Richardson-Lucy)算法的超分辨图像复原。能够实现图像的频谱外推，得到期望的复原图像。(The RL (Richardson-Lucy) algorithm-based super-resolution image restoration. Extrapolation of image spectrum, to obtain the desired restored image.)

一个改进的自适应canny算法，该方法采用改进的开关型中值滤波器对图像做去噪工作，再把整幅图像分割为若干子图像，最后在充分考虑全局以及各子图像的边缘梯度信息后，自适应地生成动态阈值。(The new Canny adaptive method divides image into sub-images,then determinates the thresholds automatically according to the whole image edge information and the sub-images edge information.)

使用直方图均衡化函数、图像调整函数和自适应直方图均衡化函数，编写用于增强索引图像对比度的程序，显示图像对比度增强效果(Using the histogram equalization function (histeq), image adjustment function (imadjust) and adaptive histogram equalization function (adapthisteq), prepared for image contrast enhancement index procedure, showing the image contrast enhancement)

基于遗传模拟退火和Otsu法的图像分割。采用一种基于模拟退火算法(SA)的混合遗传算法(GASA),来进行Otsu方法选择阈值，其中进行求解时是非线性的遗传算法（GA）的应用优化了求阈值过程，并尽可能地减少其运算量,而加入SA则避免了遗传算法(GA)常见的早熟收敛现象,从而实现有效简单的图像分割。 (adopt hybrid genetic algorithm(GASA) based on simulated annealing algorithm,choose threshold by Ostu method,which applicated the non-linear genetic algorithm(GA) allows us to optimize the process of threshold. And, where possible, to reduce the computation. in order to achieve effectivly and simply image segmentation. Combination SA is to avoid the common phenomenon about premature convergence in genetic algorithm (GA) to achieve a simple and effective image segmentation.)