image-segmentation

引导滤波器，在引导图像的引导下对输入图像进行滤波，这种新型滤波器对边缘的保持很好，而且运行计算量和核的大小无关(Guide filters, under the guidance of the guide image filtering the input image, the edge of this new type of filter to keep well and run the calculation regardless of the size and nuclear)

数字图像处理,离散小波dwt变换域中水印的嵌入(digital image processing, discrete wavelet transform domain dwt watermark embedding)

用matlab实现了图像通信中的全搜索算法与三步搜索算法这两种运动估值算法，给出了运动矢量图，对两种方法的计算复杂度和搜索性能进行了客观的比较。(Matlab image communication achieved by the full search algorithm in the three-step search algorithm with the two motion estimation algorithms, given the movement vector, the computational complexity of both methods and the search performance of objective comparison.)

本代码主要是基于HSV的阴影检测及消除，分别提取前景及背景图像，进行色彩空间转换。HSV空间类似人类感觉色彩的方式，可以更加准确地识别阴影，并保持在计算上简单。(This code is mainly based on the HSV shadow detection and elimination, extract the foreground and the background image, respectively, for color space conversion. HSV space is similar to the ways the human feel color, can more accurately identify the shadow, and keep it simple in calculation. )

常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。 自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)

说明：  基于TensorFlow图像处理的小测试，里面的代码自己尝试过都可以运行。(Based on the TensorFlow image processing test, the code can run if it has tried.)

说明：  图片采用3x3均值滤波，用Verilog语言描述，输入输出分别使用外同步(Pictures are filtered with 3x3 mean and described in Verilog language. Input and output are synchronized with each other.)

识别结果详见下图，识别图像不错的例子

matlab实现灰度预测，很好的例子，有详细说明(Matlab to achieve grayscale prediction, a good example, with detailed instructions)

说明：  傅里叶变换中的角谱衍射理论，GS算法实现(Angle spectrum diffraction theory in Fourier transform, Realization with GS algorithm)