常裕文档网    > 范文大全 > 公文范文 >

基于改进PCNN算法的电力设备图像分割研究

时间:2022-05-28 09:56:02  浏览次数:

zoޛ)j馓447iOy^M}}49)Lw)ivvio~zllíu]Ogn](1i2eu^?uv)<#Mvv7i>lx*.W5jS^
+4G$<#M<#M<#Mi(ˊ1bR(Ԋ8OE2
@
@Omn444i/343S4=L23C5Liҝuiy۲7i}gnbi<#M(ˊ1b?%(Ivh_hQbhX_(^V9%]Y6y۲7}	wN˷x7w'n444i6大学,2017.

[2]HOLLIDAY A J, KAY J A. The use of infrared viewing systems in electrical control equipment [C]//Conference Record of 2005 Annual Pulp and Paper Industry Technical Conference.Jacksonville, FL, USA:IEEE,2005: 291-295.

[3]BAEK J, KIM J, YOON C, et al. Part-based hand detection using HOG[J]. Journal of the Korean Institute of Intelligent Systems, 2013,23(6): 551-557.

[4]LEE J P, LEE J Y,HYUN C H. Coin recognition and classification using digital image processing[J]. Journal of the Korean Institute of Intelligent Systems, 2012, 22(1): 7-11.

[5]LIN Qing, HAN Y J, HAHN H S. Lane detection in complex Environment using grid-based morphology and directional edge-link pairs[J]. Journal of the Korean Institute of Intelligent Systems, 2010, 20(6): 786-792.

[6]彭智浩,杨风暴,王志社,等. 基于数学形态学和自动区域生长的红外目标提取[J]. 红外技术,2014,36(1):47-52.

[7]徐青,范九伦. 新的基于分解直方图的三维Otsu分割算法[J]. 传感器与微系统,2017,36(1): 119-122,126.

[8]JAFFERY Z A,IRSHAD. Performance comparison of image segmentation techniques for infrared images[C]//12th IEEE India Conference (INDICON)-2015. Delhi:IEEE India Council, 2015:1-5.

[9]JAFFERY Z A, DUBEY A K. Design of early fault detection technique for electrical assets using infrared thermograms[J]. International Journal of Electrical Power& Energy Systems,2014,63: 753-759.

[10]FAN Songhai,YANG Shuhong, HE Pu, et al. Infrared electric image thresholding using two-dimensional fuzzy Renyi entropy[J]. Energy Procedia, 2011, 12:411-419.

[11]LI Ying, MAO Xingjin. An efficient method for target extraction of infrared images[C]//WANG F L, DENG H, GAO Y, et al. Artificial Intelligence and Computational Intelligence. AICI 2010. Lecture Notes in Computer Science. Berlin/Heidelberg:Springer, 2010, 6319: 185-192.

[12]吴龙国. 基于高光谱成像技术的土壤水盐及番茄植株水分诊断机理与模型研究[D]. 银川:宁夏大学,2017.

[13]刘榴. 激光加工中视覺定位系统的研究[D]. 武汉:华中科技大学,2012.

[14]周文欢,郑力新. 提取连通分量算法在棒材自动计数中的应用[J]. 微型机与应用,2011, 30(18):38-41.

[15]刘军,李子毅. 一种复杂背景环境下的改进型PCNN图像分割算法[J]. 计算机与数字工程,2018,46(2):375-381,406.

推荐访问:算法 分割 电力设备 图像 改进