work234

说明：  不管对于图像的编码还是解码，三次样条算法的性能都是很好的，然后由于计算量比较大使他的效率有所下降，在次提出了一个考虑算法质量的前提下的快速算法。(regardless of the coding for images or decoding, cubic spline algorithm performance are good, and then because of the comparison calculation of the efficiency Ambassador he declined, in a meeting of the algorithm to consider the quality of the fast algorithm.)

采用拉普拉斯金字塔的图像融合程序，完成图像融合功能，需采用高于matlab2009的matlab(the image fusion source code using lap pyramid, you have to use the matlab version later than 2009.)

ihs融合方法,比较好用，测试通过，大家可以试试~(ihs fusion methods, better quality, tested, we can try ~)

主要介绍关于图像匹配的相应matlab程序设计(Focuses on the appropriate image matching matlab program )

在桌面上显示图像，C++Builder精选编程学习源码，很好的学习资料。(Image display on the desktop, C++Builder select learning programming source code, very good learning materials.)

TCS3200 RGB颜色采集，可用于检测LED等颜色(TCS3200 RGB color acquisition, can be used to detect LED and other colors)

说明：  基于小波变换的图像增强代码，试过了，很好用，希望对大家有帮助。。。。(Image enhancement based on wavelet transform code, tried, very good use, we want to help. . . .)

通过计算机usb摄像头进行图像采集，然后实时处理，跟踪其中运动物体，并进行计数，采用中值滤波法得到背景，并根据需要进行更新，视频处理采用了动态差分与前景差分结合的方法，效果比较理想，但无法解决人物重叠的问题(Usb camera through the computer for image acquisition, and real-time processing and tracking moving objects in which, and the count median filter by using the background and update as needed, video processing using a dynamic difference with the prospect of differential combination of methods, results ideal, but can not solve the problem of overlapping characters)

说明：  提出了一种基于数学形态学的多尺度熵权边缘检测方法。信息熵为图像的内在特性，由它来决定不同结构元 素所提取的边缘在最终合成边缘中所占的比重，是自适应的和客观的(A multi-scale based on mathematical morphology edge detection method of entropy. Information entropy inherent characteristics of the image, from which different structural elements to determine the edge of the extracted edge in the final synthesis of proportion, is adaptive and objective)

说明：  图像处理实验matlab的图像预处理：边缘检测、二值化、形态学滤波、灰度化(Image processing experiment matlab image preprocessing:Edge detection, binarization, morphological filtering)