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这是基于PIC系列单片机的C语言编程，采用阈值法检测QRS波，并且将检测到的QRS波经过高低通滤波、微分、移动窗口积分后，通过检测两个相邻的峰值，计算出心率-This is based on the PIC series MCU C language programming, using the threshold detection QRS wave, and the QRS wave is detected after a low pass filter, differential, mobile window points to the public through the detection of two adjacent peaks, calculate the heart rate

Visual C++ 数字图像处理典型算法及实现(3)-Visual C++ digital image processing algorithms and implementation of a typical (3)

图像增强的C++源程序，效果非常好，彩图ok-Image enhancement of the C++ source code, the effect is very good, Wallpapers ok

一个的条形码识别程序，可直接运行。可识别多种规格的条形码。功能有，打开文件，识别，上一条文件，下一条文件。-a bar code identification procedures, can run. Identifiable variety of bar code specifications. Function, open files, identification, on a document, under one document.

sift算法的实现. sift是图像配准的经典算法.04年开始广泛应用.-sift algorithm. sift is a classic image registration algorithm widely used .04 onwards.

delphi图像处理 It was developed using Delphi 5 Pro, but it should work OK with D4 or even D3. It uses 24-bit bitmaps and scanline for speed. I have included the text version of the two forms, hopefully it will enable people with D3 or D4 to use this example.-delphi image processing It was developed using Delphi 5 Pro, but it should work OK with D4 or even D3. It uses 24-bit bitmaps and scanline for speed. I have included the text version of the two forms, hopefully it will enable people with D3 or D4 to use this example.

傅立叶描述子，用于提取形状的特征。c++编写-Fourier descriptors for the extraction of shape features. c++ prepared

用Matlab实现的多种基于阈值的图像分割方法，含有大津法，最大熵，聚类等方法-Using Matlab to achieve a variety of threshold-based image segmentation method, which contains Otsu method, maximum entropy, clustering and other methods

包含图像处理的常用算法及其编程，标准C/C＋＋语法-contains commonly used image processing algorithms and programming, the standard C/C++ syntax

This Matlab file demomstrates a narrow band algorithm that implements the level set method in Li et al s paper "Level Set Evolution Without Re-initialization: A New Variational Formulation" in Proceedings of CVPR 05, vol. 1, pp. 430-436.