手机版 English 帮助中心

欢迎

undefined

登录

我的账户

已绑定单位

个人退出

退出

的

机构登录

我的账户

机构退出

退出

×

会员登录 立即注册

IP自动登录失败

换一张

自动登录 找回密码

登录 IP登录 校外访问>>

使用合作网站账号快速登录

其他登录:

登录机构用户

注册新用户

我的CNKI

充值中心

购买知网卡

提示

您的IP已超出中国大陆的许可使用范围！
您今年还可启用j次应急服务，每次7天。
您确定要启用吗？

取消>启用

中国大陆地区以外的用户，请访问 oversea.cnki.net >

您的IP已超出中国大陆的许可使用范围！
您今年的应急服务次数已耗尽，暂无法登录。

关闭

中国大陆地区以外的用户，请访问 oversea.cnki.net >

外文文献知网节

文献信息节点

基本信息摘要关键词核心评价相关文献

屏幕划词翻译

复制链接

新浪微博

微信扫一扫

Journal|[J]Journal of Autonomous IntelligenceVolume 3, Issue 1. 2020. PP 18

MT基于最佳颜色通道的最佳统计模型的皮肤损伤边界检测

Skin Lesion Border Detection Based on Best Statistical Model Using Optimal Colour Channel

作者: Alaa Ahmed Abbas Al abayechi; Fadeheela Sabri Abu Almash
展开

DOI: 10.32629/jai.v3i1.131

全部来源

获取全文

Frontier Scientific Publishing

Frontier Scientific Publishing(Open Access)

摘要 / Abstract

MT

本文提出了一种基于边缘的彩色皮肤镜图像分割黑色素瘤皮损的有效方法。提出的方法,将不同的方法结合起来,提高了分割性能。这些方法是形态学运算、双边滤波、样条、多项式模型和Canny边缘检测。对不同的方法进行了试验,选出了产生最佳结果的最佳方法。这些测试方法中,双边滤波器在中值滤波器、高斯和平均滤波器等其他滤波器中提供的PSNR最高。两个统计模型分别实施多项式模型和线性回归,选择性能最好的作为多项式模型。采用4种边缘检测算子检测皮损边缘,选择最佳分割精度。以?手动边界选择为基准,对自动边界的精度进行评价。该方法在Canny边缘检测的基础上实现了96.69 %的平均检测精度。我们的数据集由( 70 )个皮肤镜图像组成,其中包括黑色素瘤和痣。

收起

原文

This paper proposes an effective way to segment melanoma skin lesion in colour dermoscopic images, using an edge-based approach. The proposed method, different methods were combined to improve the segmentation performance. These methods are morphological operations, bilateral filter, spline, polynomial model and canny edge detector. Different methods were tested to select the best method that was produced the best outcome. These testing methods, bilateral filter provided the highest PSNR amongst other filters such as median filter, Gaussian and average filter. Two statistical models were implemented polynomial model and linear regression and selected the best performance as polynomial model. Four edge detectors were applied to detect the edge of skin lesion and select the best segmentation accuracy.  Manual border selection was used as the benchmark to evaluation the accuracy of the automatic border. The proposed method was able to achieve a good average accuracy of 96.69% based on canny edge detector. Our dataset consists of (70) dermoscopic images that includes melanoma and nevus.

收起

关键词 / Keywords

MT
双边滤波; 样条; 多项式模型; 线性回归模型; 边缘检测; Canny; 黑色素瘤; 皮肤损伤

原文
Bilateral Filter; Spline; Polynomial Model; Linear Regression Model; Edge Detection; Canny; Melanoma; Skin Lesion

参考文献 / References（引用的文献）：本文研究的参考依据

引证文献 / Cited by（被引用的文献）：引用本文作为参考依据的文献

Related articles / 相关文献

相似文献

作者发文

机构发文

关键词分析

相似文献（说明：与本文内容较接近的文献）

[1]
Cai Weiwei, Zhai Bo, Liu Yun et al. Quadratic polynomial guided fuzzy C-means and dual attention mechanism for medical image segmentation[J]  Displays, 2021, 70

[2]
Barrowclough Oliver J.D., Muntingh Georg, Nainamalai Varatharajan et al. Binary segmentation of medical images using implicit spline representations and deep learning[J]  Computer Aided Geometric Design, 2021, 85

[3]
Kalyani R., Sathya P.D., Sakthivel V.P. Medical image segmentation using exchange market algorithm[J]  Alexandria Engineering Journal, 2021, 60(6)

[4]
Rahaman Jarjish, Sing Mihir An efficient multilevel thresholding based satellite image segmentation approach using a new adaptive cuckoo search algorithm[J]  Expert Systems With Applications, 2021, 174

[5]
Sathya P.D., Kalyani R., Sakthivel V.P. Color image segmentation using Kapur, Otsu and Minimum Cross Entropy functions based on Exchange Market Algorithm[J]  Expert Systems With Applications, 2021, 172

[6]
Abd Elaziz Mohamed, Lu Songfeng, He Sibo A multi-leader whale optimization algorithm for global optimization and image segmentation[J]  Expert Systems With Applications, 2021, 175

[7]
Houssein Essam H., Emam Marwa M., Ali Abdelmgeid A. An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm[J]  Expert Systems With Applications, 2021, 185

[8]
Zhang Qian, Wang Zhiyan, Heidari Ali Asghar et al. Gaussian Barebone Salp Swarm Algorithm with Stochastic Fractal Search for medical image segmentation: A COVID-19 case study[J]  Computers in Biology and Medicine, 2021, 139

[9]
Yu Helong, Song Jiuman, Chen Chengcheng et al. Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm[J]  Engineering Applications of Artificial Intelligence, 2022, 109

[10]
Zhang Lei, Zou Lang, Wu Chuanyu et al. Method of famous tea sprout identification and segmentation based on improved watershed algorithm[J]  Computers and Electronics in Agriculture, 2021, 184

共10页

1

2

3

4

5

10

末页

CNKI数字图书馆

个人馆/机构馆

学者成果库

学者圈

科研项目

网络资源

CNKI学术趋势

数字化学习与研究

数字化学习与研究平台

学术资源发现平台

中国知网

客户服务

充值中心

在线咨询

客服中心

关于我们

资源合作

[email-masked]

+86-10-82896619

意见反馈

[email-masked]

《中国学术期刊(光盘版)》电子杂志社有限公司KDN平台基础技术由KBASE 11.0提供

© 2014-2018中国知网(CNKI)京公网安备11010802020460号经营性网站备案信息 互联网出版许可证 新出网证(京)字271号 京ICP证040431号