tif2raw

摄影测量学 通过迭代法求解五个相对定向元素(Relative orientation)

做图像轮廓提取的应该都听说果GVF这个概念，也难免有没听过的，不过可以看看这个程序(Does the image contour extraction of GVF should have heard the concept of fruit, but also inevitably have heard, but can look at this process)

图像处理基本算法其中之一的图像细化(Image processing one of the basic algorithm for image thinning)

一种基于背景减法和帧差的运动目标检测算法(Based on background subtraction and frame difference moving target detection algorithm)

sift 图像特征提取算法源码，对研究sift算法很有帮助。(The source code of sift image feature extraction algorithm is very helpful to the research of sift algorithm.)

对火焰图像进行二值化 边缘检测 链码提取 并计算火焰图像的面积和周长 绝对好用！(Binarization flame image edge detection chain code extraction and absolutely easy to calculate the area and perimeter of the flame image!)

K均值聚类算法对图像进行分割，实验用程序，亲测可用。(K-means clustering algorithm for image segmentation, experimental procedures, pro-test is available.)

基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。(Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the final feature matrix we got is combined time signature and roundness. We take correlations as our judge criteria in our experiments. It has been proved that the algorithm is not sensitivity with the rotation, scaling and translation of the object and is a useful method for target recognition applications.)

利用hough变换检测圆，有RHT，随机hough变换，以及一些改进(Using Hough transform to detect the circle)

说明：  根据：基于不变矩特征和神经网络的图像模式模糊分类 论文 在matlab上做的实验，有7个不变矩生成和神经网络分类的代码，还要论文原文(According to: Based on the characteristics of moment invariants and neural network image mode fuzzy classification papers in matlab to do the experiment, there are seven moment invariants and neural network classifier to generate the code, but also the original papers)