卷积神经网络在图像处理中的应用研究
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摘要
近几年来,卷积神经网络被广泛应用于图像处理和目标检测等领域,并且取得了很多突破性的研究成果。本文介绍了卷积神经网络的基本原理和计算机中图像的存储,并介绍了卷积神经网络在黑白图像上进行模糊、锐化、边缘检测、浮雕效果、渐变效果等处理的应用。采用不同的卷积核对图像处理会有不同的影响,这对研究图像处理和识别有很重要的意义。
In recent years,Convolutional Neural Network(CNN) has been widely applied in image processing,target detection,etc.,with a series of breakthrough research results.This paper expounds the basic principle of CNN and the storage of images in computer.It introduces the application of CNN on black-and-white image processing such as blurring,sharpening,edge detection,embossing effect and gradient effect.It is shown that different convolution kernels have different effects on image processing,which is very important for studying image processing and recognition.
In recent years,Convolutional Neural Network(CNN) has been widely applied in image processing,target detection,etc.,with a series of breakthrough research results.This paper expounds the basic principle of CNN and the storage of images in computer.It introduces the application of CNN on black-and-white image processing such as blurring,sharpening,edge detection,embossing effect and gradient effect.It is shown that different convolution kernels have different effects on image processing,which is very important for studying image processing and recognition.
引文
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[2]Igor Sevo,Aleksej Avramovic.Convolutional neural network based automatic object detection on aerial images[J].IEEEGeoscience and Remote Sensing Letters,2016,13(5):740-744.
[3]He K,Zhang X,Ren S,et al.Spatial pyramid pooling in deep convolutional networks for visual recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence 2015,37(9):1904-1916.
[4]李彦冬,郝宗波,雷航.卷积神经网络研究综述[J].计算机应用,2016,36(9):2508-2515.
[5]常亮,邓小明,周明全,等.图像理解中的卷积神经网络[J].自动化学报,2016,42(9):1300-1312.
[6]朱志刚,林学訚,石定机.数字图像处理[M].北京:电子工业出版社,2007:1-12.
[7]王振,高茂庭.基于卷积神经网络的图像识别算法设计与实现[J].现代计算机(专业版),2015,7(20):61-65.
[8]孙志军,薛磊,许阳明,等.深度学习研究综述[J].计算机应用研究,2012,29(8):2806-2810.