imseg

采用片条理论进行机翼的颤振分析，匹配点和非匹配点分析(Carried out using strip theory wing flutter analysis, matching and non-matching point analysis points)

说明：  图像边缘检测及图像区域分割、目标检测、目标识别(Image edge detection, image region segmentation, target detection and target recognition)

matlab产生iges文件 将图形导出为igs格式的文件，方便导入ansys和SolidWorks等(make iges project .it a very good function for you to link matlab and ansys or solidworks)

本系统实现指纹的识别和差异比对，通过差值程度来反映相似程度。(The system realizes fingerprint identification and difference alignment, and reflects the similarity degree by the degree of difference.)

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.)

本解码器类支持普通jpeg文件格式，这也是目前大多数jpeg文件所采用的格式，此格式主要特点是数据精度为8位，采用Huffman编码的普通DCT帧（不支持扩展串行和递进模式及数学编码）。本解码器类的 IDCT算法采用三种模式，分别是浮点解码、定点整数解码和定点整数MMX优化解码，您可根据具体情况选择。(The decoder class support common JPEG file format, which is currently the most JPEG files in the format and the main characteristics of this format is data for 8-bit precision, using Huffman coding DCT common frame (does not support extended serial and progressive model and arithmetic coding). The decoder of the IDCT algorithm uses three modes, respectively, floating-point decoding, fixed-point integer decoding and fixed-point integer MMX optimization, you can choose according to the specific circumstances.)

非刚性强壮点匹配图像配准。用于医学图像配准。thin plate splines robust point matching.(nonrigid strong point matching image registration. For the medical image registration. Thin plate spline robust point matching.)

两片镜子拼成的六边形拼接镜模型~~~~~~~(A hexagonal splicing mirror model composed of two mirrors~~~~~~~~~)

一种可用的相位恢复算法，做图像处理的同学们可以参考(A effective phase retrieval algorithm)

基于K均值算法和互信息熵差的算法，可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。(K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization of medical image segmentation.)