US_image_segmentation

C# 浏览大图片 例子源码

利用霍夫曼编码对图像进行编码及解码，计算霍夫曼编码效率(huffman encode and decode)

使用MRF进行SAR图像变化检测，能量最小化算法采用ICM(SAR image change detection uses MRF, energy minimization algorithm uses the ICM)

说明：  LBP是一种用来描述图像局部纹理特征的算子；它具有旋转不变性和灰度不变性等显著的优点。(LBP is an operator used to describe local texture features of images; it has significant advantages such as rotation invariance and gray invariance.)

视觉仿生学在图像处理中具有非常重要的作用，视觉侧抑制原理在目标增强中具有很大的潜力(Bionics in visual image processing has a very important role in the visual principles of lateral inhibition in the target has great potential to enhance)

C# 鼠标拖拽图像 实例源码

混沌系统中得logistic映射分岔图源程序，可以看到分岔效果，具有混沌特性(Chaotic systems have in the logistic map bifurcation diagram source, you can see the bifurcation effect the character of chaos)

提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；Curvelet 变换；P-M 扩散(Abstract: An image de-noising model by integrating anisotropic diffusion with USFFT Curvelet transform was proposed, which combined the strongpoint of Curvelet transform with anisotropic diffusion (P-M diffusion). By choosing appropriate gradient threshold K through p-norms and carrying out the P-M diffusion process depend on the different scale matrixes of Curvelet coefficient of the image from Curvelet transform iterations, as a result, the improved model made it possible to carry out the new P-M diffusion de-noising process based on multi-scale analysis of the image. The experiment results have demonstrated that the model can avert the stair-casing effect in the traditional P-M diffusion effectively and keep the textures and details of images better.)

说明：  一个双目匹配求解视差图的matlab源代码(A binocular matching to solve the disparity map of Matlab source code)

此demo演示的是一个能够检测并跟踪道路上的标记线并且在适当时机发出报警的系统，此系统可使汽车在行驶过程中能够避免偏离车道。系统由一台摄像机，一台计算机，以及一个扬声器组成，摄像机采集视频信息交由计算机处理，根据处理结果控制扬声器是否报警。(This demo demonstrates a system that detects and tracks the marking lines on the road and sends out the alarm at the right time, which enables the car to avoid deviating from the driveway during the driving process. The system is composed of a camera, a computer, and a loudspeaker. The video information is processed by the camera to control the alarm of the speaker according to the processing results.)