sobel算子与prewitt算子分析与研究  

Analysis and Research of Sobel Operator and Frewitt Operator

作　　者：王月新[1] 刘明君[1] 

机构地区：[1]忻州师范学院,忻州034000

出　　处：《计算机与数字工程》2016年第10期2029-2031,2042,共4页Computer & Digital Engineering

基　　金：忻州师范学院青年基金(编号:QN201405)资助

摘　　要：图像梯度锐化能够帮助人们客观,明确地了解世界,而在人的视觉感官中,梯度信息又占有十分重要的比重,所以准确的梯度信息对于数字图像处理有着极为重要的意义。图像梯度锐化技术在各个行业中已经得到了非常广泛的应用。论文是基于Matlab的图像梯度锐化技术研究与实现,重点研究了图像梯度锐化技术理论。首先对图像进行灰度处理,然后分别分析了sobel算子和prewitt算子方法,最后通过利用Matlab对这两种算子进行仿真,并分析仿真结果得出结论。Image gradient sharpening can help people understand the world clearly and objectively, and in peopled visual senses, gradient information occupies a very important proportion, so the accurate gradient information for digital image processing has a very important significance. Now, image gradient sharpen technology has been widely used in various indusries. This thesis is based on the research and implementation of the image gradient sharpening technology of Matlab, and it has been especially studied the image gradient sharpening technology. Firstly, the image is processed with gray treatment. And then the method of sobel operator and prewitt operator can be analysed. Finally, Matlab can be used to simulate the two operators, the simulation is analyzed and a conclusion a drawn.

关 键 词：MATLAB 梯度锐化 sobel梯度算子 prewitt梯度算子 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]