image-processing

％通过耦合神经网络结合中值滤波实现图像的降噪源代码( Through the combination of coupled neural network filtering image noise source code)

图像配准配准结果检验程序,其他人不需帐号就可自由下载此源码 (image registration Registration results of testing procedures, other people can not account free download this source)

简单背景下的红外目标检测，本程序用背景差分法实现目标检测，效果很好。(Simple under the background of the infrared target detection, the background difference method is used to implement target detection program, the effect is very good. )

数字图像处理代码,包括二值化,平滑,边缘检测等(Digital image processing code, including the binarization, smoothing, edge detection and so on)

说明：  对指定的一幅含有多个目标的灰度图像，进行基于阈值的图像分割处理，对结果图像进行基于数学形态学的后处理设计，以得到更理想的目标区域。最后对结果图像进行区域标记（以颜色区分不同区域）并提取目标个数、各目标区域的面积、圆形度等特征。(The gray image with multiple targets is segmented based on threshold, and the result image is designed based on mathematical morphology to get a better target area. Finally, we mark the region of the result image (distinguish different regions by color) and extract the number of targets, the area of each target region, roundness and other features.)

16QAM-matlab simulation,16QAM-matlab simulation,(16 qam- matlab simulation, 16 qam- matlab simulation,)

源点定位程序，可用于检测连通域等功能，代码是c/c++的，放心使用。(Source point positioning procedures, can be used to detect other functions connected domain, the code is c/c++, and ease of use.)

说明：  图像分割指把图像分成各具特性的区域并提取出感兴趣目标的技术和过程，它是由图像处理到图像分析的关键步骤。小麦的图像分割是使用各种图像分割算法对小麦图像进行处理和研究，提取出有用的图像信息以实现小麦粘连籽粒的分离，为进一步利用图像处理技术分析小麦品质提供依据。因此，对小麦图像分割方法的研究具有十分重要的意义。 本文首先研究了图像分割算法的分类以及常用图像分割算法的基本原理。然后针对小麦图像的特点，研究了在不同光照、背景和连接情况下使用的小麦图像分割方法，对各种分割算法进行了比较、结合和改进。重点研究了基于小波变换的分水岭算法和阈值分割算法在小麦图像分割中的应用，并借助MATLAB工具软件对选定图像进行处理，实现了对小麦粘连籽粒的分离。最后本文对图像分割技术进行了展望。 本论文的研究对于图像分割技术在小麦品质中的应用具有一定的参考价值。 (Image segmentation is a technology and process that divide image into different character area, which is interesting us. It is a key step from image processing to image analyzing. The wheat image segmentation is a way using many algorithms does some research and processing, and it also can realize the separation of wheat adhesion and realize the extraction of useful image information. So it can lay the foundation for using image processing technologies to analysis the quality of the wheat. there is a very important meaning for the research of the image segmentation method. This paper studies the class and the principle of segmentation algorithm in common use firstly, then, studies the wheat image segment algorithm with different illumination background. It contrasts kinds of algorithms, and improved them. This paper is based on wavelet transform, and combines with the watershed algorithm and the threshold segmentation method. Using the MATLAB software, does some process on the wheat i)

实现图像的均衡化，步骤很清楚，程序很优化，利于初学者学习使用。(accomplish picture processing)

进行简单的数字图像处理，用MATLAB进行图像旋转，灰度，亮度调节(Perform simple digital image processing)