第6次课程序

1、读取显示所给PET图像（SE2IM210）。 2、学习imhist函数，画出所给PET图像的直方图。 3、根据直方图为该PET图像选择合适的显示窗（imshow参数），使胸 部轮廓等解剖结构可见。 4、根据直方图选择合适阈值，分割肿瘤区域与正常区域，计算肿瘤区 域内图像灰度均值、方差、最大值及最小值。(1 give PET images displayed, read (SE2 IM210). 2, learning, imhist function, draw the give PET image histogram. 3, according to the histogram for the PET image to choose the appropriate display window (imshow parameters), make bosom Outline of anatomical structures such as visible. 4, according to the histogram, choose appropriate threshold segmentation tumor area and normal area, calculating the tumor area In the domain of image grayscale average and variance, the maximum and minimum values.)

说明：  hslogic算法仿真，基于matlab的灰度共生算法的集成电路裂痕修复仿真(Hslogic algorithm simulation, integrated circuit crack repair simulation based on MATLAB gray level co-occurrence algorithm)

这是人脸识别，用MATLAB实现，非常好的东东哦(This is the face recognition, MATLAB, very good Eastern oh)

图像频率域滤波程序，课程设计作业，获优秀，完全自主开发，包含搞通滤波、低通滤波、带通滤波以及方向滤波。含ＧＵＩ(image frequency domain filtering procedures, curriculum design work, outstanding, fully self-development, including engaging pass filtering, low-pass filtering, band-pass filtering and filtering direction.- GUI)

本程序包括图像的几何变换、图像的灰度变换、图像的空域增强、图像的频域增强、图像的形态学处理、图像的分割和区域增长、还有图像的数字识别等一系列有关图像的基本操作和处理。(This procedure including the image geometric transform, the image gradation transformation, the image air zone strengthens, the image frequency range to strengthen, image morphology processing, the image division and the region grows, also has the image digital recognition and so on a series of related image elementary operation eo and processing. )

利用DOA和TOA对运动辐射源的单舰无源定位(Using a single passive location DOA and TOA ship moving emitter)

识别分割图像中不同颜色的部分，并分别显示出来(Identifying portion dividing the image in different colors, and were displayed)

基于主成分分析的遥感图像融合算法，融合结果质量较好。(The fusion algorithm of remote sensing image based on principal component analysis has better fusion result.)

用matlab对指纹识别图像算法的实现，包括分割，增强，二值化，细化，提取和匹配(Using matlab fingerprint image algorithm, including segmentation, enhancement, binarization, thinning, extraction and matching)

ROS CODE TO PUBLISH A LOCAL IMAGE