| 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。 |
| 关键词: 卷积神经网络；图像处理；卷积核 |
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中图分类号: TP311
文献标识码: A
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| Study on the Application of Convolutional Neural Network on Image Processing |
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XING Zhenzhen
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( School of Computer Engineering, Taiyuan Institute of Technology, Taiyuan 030008, China)
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| Abstract: 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. |
| Keywords: Convolutional Neural Network (CNN);image processing;convolution kernel |
