inverse11

图像混色源码例程,程序结合易语言应用接口支持库和位图操作支持库，调用API函数实现图像的混色效果。(Source image blending routines, combined with easy language application program interface to support libraries and bitmap operations support library , call the API functions for image blending effect .)

在VC6.0环境下，借助openCV函数库，对视频中的人脸进行检测，并实时跟踪，然后用Haar特征的分类器定位人脸，并检测瞳孔存在与否，提取关于眼睛的疲劳信息(In VC6.0 environment, with the aid of openCV function library, to detect human faces in video, and real-time tracking, positioning and use characteristics of Haar classifier faces, and examine the pupil existence, to extract the information about the fatigue of the eye)

将所以的人脸图像规一化，用灰度投影法定位脸的左右两侧，再用灰度投影大致定位眼睛，根据眼睛的距离进行几何缩放，将人脸规一化。(Will therefore face image of one of regulation, using gray-scale projection method of positioning the right and left face, and then more or less gray projector positioning the eyes, under the eyes of the distance geometry scaling, will face one of regulation.)

生物学中检测基因对颜色的影响，所以需要计算某种颜色占整体的比例(calculate color ratio)

初步的代码，只保存边界的声波逆时偏移 RTM

数字水印技术的matlab实现，一个简单的水印算法，注意自己修改图片名(Digital watermark technology matlab to achieve a simple watermarking algorithm, pay attention to their own to modify the name of the picture)

边沿检测与提取，轮廓跟踪的图象算法 用VC++实现，下载可以正常运行(Edge detection and extraction, contour tracing algorithm using image VC++ Realization can download the normal operation of)

利用数学形态学构成形态学滤波器对图象进行滤波,处理效果较满意.(using mathematical morphology constitute morphological filter image filtering, processing more satisfied with the results.)

说明：  MATLAB视频人体异常行为识别 本文设计了一款人体行为异常监控系统，主要适用人群是老年人，在摄像头固定的情况下，自动检测人体运动轨迹，并与提前设定好的行为库进行匹配，分析判断是否具有异常行为。(Human abnormal behavior recognition in matlab video In this paper, a monitoring system of human behavior abnormality is designed, which is mainly suitable for the elderly. When the camera is fixed, it can automatically detect the human movement track, and match with the behavior database set in advance to analyze and judge whether there is abnormal behavior.)

利用hough变换检测图像中的形状圆和直线，以及图像几何变换(detecting image circle or line using hough transformation and transformation)