The following implementation steps have been made for the devised algorithm, which is based on 2D-wavelet. 1. Reading an image of either gray scale or RGB image. 2. Converting the image into grayscale if the image is RGB. 3. Decomposition of im

实现24位RGB彩色图像，先转化为灰度图像，而后用大津法实现二值化，并显示阀值。-To achieve 24-bit RGB color images, the first converted to grayscale images, then using Otsu binarization method to achieve and display threshold.

肺部CT图片分割提取出肺实质：迭代法获取灰度阈值；二值化图像；分区使用纯M语言编写，各个环节都是自己编程解决，没有用Matlab内置的函数，方便改成其他语言代码。-Lung CT image segmentation to extract the lung parenchyma: iterative methods for grayscale threshold binary image partition using pure M language, are all aspects

图像的阈值分割，基于matlab的一维改良otsu聚类算法的灰度图像分割-Image threshold segmentation, matlab-based one-dimensional improved otsu clustering algorithm for grayscale image segmentation

图像的阈值分割，基于matlab的一维otsu聚类算法的灰度图像分割-Image threshold segmentation, matlab-based one-dimensional otsu clustering algorithm for grayscale image segmentation