MyLT

对超声图像的去噪和分割，可以显示肿瘤图像的边缘和面积(For ultrasound image denoising and segmentation, image can show the tumor edge and area)

说明：  标注节点距离，批量标注节点距离。节省画图时间 提高画图效率(Marking Node Distance)

这篇论文提出了一种较好的水下图像增强的方法。首先使用经过端到端训练的卷积神经网络去测量输入图片，同时以自适应双边滤波器对传输图片进行处理。接着提出一种基于白平衡的策略来消除图片的颜色偏差，用拉普拉斯金字塔融合获得无雾和色彩校正图像的融合结果。 最后，输出图像被转换为混合小波和方向滤波器组（HWD）域，用于去噪和边缘增强。 实验结果表明，该方法可以消除颜色失真，提高水下图像的清晰度。(This paper proposes a better underwater image enhancement method. Firstly, an end-to-end training convolutional neural network is used to measure the input image, and an adaptive bilateral filter is used to process the transmitted image. Then a strategy based on white balance is proposed to eliminate the color deviation of images. The fusion results of fog-free and color correction images are obtained by Laplacian pyramid fusion. Finally, the output image is converted into hybrid wavelet and directional filter bank (HWD) domain for denoising and edge enhancement. The experimental results show that the method can eliminate color distortion and improve the clarity of underwater images.)

本书可作为信息处理、计算机、机器人、人工智能、遥感图像处理、认知神经科学等有关专业的高年级学生或研究生的教学用书，也可供相关领域的研究工作者参考。(This book can be used as information processing, computer, robot, remote sensing image processing, artificial intelligence, cognitive neuroscience and related professional senior student or graduate student s teaching resources, also can be used for reference in the related areas of research workers.)

比较简单的jpeg编码解码程序.( Compared with simple jpeg code decoding procedure )

说明：  MATLAB下的人脸定位程序，程序小巧易懂，适合初学者研究进而演化出识别率更好的程序(Under MATLAB Face Locator, the program small and easy to understand, suitable for beginners through research programs evolve better recognition rate)

说明：  应用opencv进行图像处理，改变基sobel算子操作，有利于开展下面的图像处理(Applying OpenCV to image processing and changing the operation of base Sobel operator is beneficial to the following image processing)

标记分水岭的matlab程序。分水岭变换就是指将原图像转换为一个标记图像, 其中所有属于同一集水盆的点均被赋予同一个标记, 并用一个特殊的标记来标识分水岭上的点(Marking a watershed in the matlab program. Watershed transform refers to the original image is converted to a Tagged Image, which all belong to the same set of points were given a basin with a marker, and a special marker to identify the point of a watershed)

说明：  红外图像细节增强仿真，其中使用双边滤波器进行图像分层。带测试源数据。(Infrared image detail enhancement, with test source data)

说明：  基于混合高斯模型和matlab代码实现的前景提取(Foreground extraction based on gaussian mixture model)