OtsImageCtl.java

最大熵直接迭代法,维纳滤波和盲恢复对水平方向匀速直线运动造成的模糊图像的恢复研究(Direct iterative maximum entropy method, Wiener filtering and blind restoration of the horizontal direction caused by uniform linear motion blurred image restoration)

运用最小二乘和一范数约束求解低分辨率多光谱图像和高分辨率全色图像融合成高分辨率多光谱图像，程序附带主流的图像融合评价标准，需要融合的图像，对比图像；以及附带程序所需的稀疏包(Using least squares and a norm constraint solving low-resolution multi-spectral image and panchromatic image fusion into a high-resolution multi-spectral images, the program comes with mainstream image fusion uation criteria require the integration of image contrast image and Sparse package comes with the program required)

SAR面目标回波仿真 包含3个目标三维矩阵的mat文件 分别对着三种不同面目标可以进行回波仿真 直接运行即可(The SAR surface targets echo simulation contains 3 target three-dimensional matrix mat file against the three different surface targets echo simulation can be run directly)

说明：  实现opencv的canny算子及其改进，可以自适应生成阈值，包括了几种阈值处理算法(The Canny operator of OpenCV and its improvement can generate threshold adaptively, including several threshold processing algorithms)

亚像素边缘检测，对图像的边缘检测达到亚像素级别(Sub-pixel edge detection, image edge detection to sub-pixel level)

基于FCM和水平集的图像分割，以脑颅图像为例，分割结果良好(FCM and the level set based image segmentation to skull image, for example, good segmentation results)

说明：  出一个基于扩散与位平面Amold映射相结合的彩色图像置乱，以及采用Chen系统产 生的混沌序列加密的图像加密算法。(A combination of diffusion bit plane Amold mapping based color image scrambling, and Chen system chaotic sequence encryption image encryption algorithm.)

MSER代码，实现最大稳定极值区域提取，经测试可用(The MSER code to achieve maximum stable extremal region extraction)

sift算法，特征点的提取与匹配，图像融合，图像拼接。测试过，效果不错，特征点提取较稳定。(Sift u7B97 u6CD2 uFF0C u7279 u5F1 u70B9 u7684 u63D0 u53D6 u4E0E u5339 u914D uFF0C u56FE u50CF u878D u5408 uFF0C u56FE u50CF u62FC u63A5 u3002 u6D4B U8BD5 u8FC3 uFF0C u6548 u679C u4E0D u9519 uFF0C u7279 u5F81 u70B9 u63D0 u53D6 u8F83 u7A33 u5B9A u3002)

本文提出了基于Retinex可变框架模型的图像增强算法。实验证明该算法不但能有效的增强图像的质量，还能避免Retinex算法中带来的光晕效应，同时算法速度与同类型的图像增强算法比较更快速。之后，将这种理论运用到对彩色图像增强中，取得了很好的处理效果。 （使用同方知网浏览器打开）(This paper presents a framework model based on variable Retinex image enhancement algorithm. Experiments show that this algorithm not only can effectively enhance the image quality, but also to avoid the Retinex algorithm brought halo effect, and algorithm speed and the same type of image enhancement algorithm is relatively faster. After this kind of theory to the enhancement of color images, achieved good treatment effect. (Text browser to use the same side open))