计算机科学 ›› 2018, Vol. 45 ›› Issue (8): 247-252.doi: 10.11896/j.issn.1002-137X.2018.08.044
仇国庆, 熊耕耘, 赵文铭
QIU Guo-qing, XIONG Geng-yun, ZHAO Wen-ming
摘要: 针对传统的三维Otsu分割算法计算量大、运算时间长等问题,提出一种利用一维Otsu来减小迭代空间和搜索空间,并用布谷鸟搜索算法进行寻优的算法。仿真实验表明,该算法能够有效减少运算时间。同时针对传统的三维Otsu算法因忽略2-7区域而导致错分的问题,提出了一种处理方法。该方法将2-7区域的像素点分为噪声点和非噪声点,分别对其进行处理,对2-7区域内的所有点都进行分配。仿真实验表明,由于该方法考虑了所有像素点,分割结果要优于传统的三维Otsu分割算法。
中图分类号:
[1]WU Y Q,MENG T L,WU S H.Research progress of image thresholding methods in recent 20 years(1994-2014).Journal of Data Acquisition and Processing,2015,30(1):1-23.(in Chinese)吴一全,孟天亮,吴诗婳.图像阈值分割方法研究进展20年(1994-2014)[J].数据采集与处理,2015,30(1):1-23. [2]ZHANG P F,LU S F,LI J Q.Multi-component segmentation of X-ray computed tomography(CT) image using multi-Otsu thresholding algorithm and scanning electron microscopy[J].Ene-rgy Exploration & Exploitation,2017,35(3):281-294. [3]YIN P Y,WU T H.Multi-objective and multi-level imagethresholding based on dominance and diversity criteria[J].Applied Soft Computing,2017,54:62-73. [4]OTSU N.A threshold selection method from gray-level histogram[J].IEEE Transactions on Systems,1979,9(1):62-66. [5]JYOTIKA P,GAURAV G.Image Segmentation Using Genetic Algorithm OTSU[C]∥5th International Conference on Soft Computing for Problem Solving(SocProS).2016:473-480. [6]LIU J Z,LI W Q.The Automatic Thresholding of Gray-Level Pictures Via Two-Dimensional OTSU Method. Acta Automatica Sinica,1993,91(1):101-105.(in Chinese)刘健庄,栗文青.灰度图象的二维Otsu自动阈值分割法[J].自动化学报,1993,19(1):101-105. [7]JING X J,LI J F,LIU Y L.Image Segmentation Based on 3-D Maximum Between-Cluster Variance.Acta Electronica Sinica,2003,31(9):1281-1285.(in Chinese)景晓军,李剑峰,刘郁林.一种基于三维最大类间方差的图像分割算法[J].电子学报,2003,31(9):1281-1285. [8]FAN J L,ZHAO F,ZHANG X F.Recursive Algorithm forThree-Dimensional Otsu’s Thresholding Segmentation Method.Acta Electronica Sinica,2007,35(7):1398-1402.(in Chinese)范九伦,赵凤,张雪峰.三维Otsu阈值分割方法的递推算法[J].电子学报,2007,35(7):1398-1402. [9]ZHAO F,FAN J L.Three-dimensional Otsu’s method with non local spatial gray information.Computer Engineering and Applications,2013,49(3):30-33.(in Chinese)赵凤,范九伦.融合非局部空间灰度信息的三维Otsu法[J].计算机工程与应用,2013,49(3):30-33. [10]ZENG Y Z,WANG R M.A method for three-dimension OTSU image segmentation based on adaptive particle swarm optimization.Electronic Design Engineering,2011,19(13):173-175.(in Chinese)曾业战,王润民.基于自适应粒子群优化的三维OTSU图像分割算法[J].电子设计工程,2011,19(13):173-175. [11]SHILPA S,SHYAM L.Multilevel thresholding based on Chao-tic Darwinian Particle Swarm Optimization for segmentation of satellite images[J].Applied Soft Computing,2017(55):503-522. [12]HE L F,HUANG S W.Modified firefly algorithm based multilevel thresholding for color image segmentation[J].Neurocomputing,2017,240:152-174. [13]FAN J W,WANG Q P,LUO H,et al.Fast Iterative Algorithm for Segmentation Based on an Improved Three-Dimensional Otsu∥2015 National Microwave and Millimeter Wave Confe-rence.2015:5.(in Chinese)范加武,王青平,罗慧,等.基于改进的三维Otsu分割快速迭代算法∥2015年全国微波毫米波会议.2015:5. [14]PARE S,KUMAR A,BAJAJ V.A multilevel color image segmentation technique based on cuckoo search algorithm and energy curve[J].Applied Soft Computing,2016,47(C):76-102. [15]SUDARSHAN N,YANG X S,PRATIM S P.Color Image Segmentation By Cuckoo Search[J].Intelligent Automation and Soft Computing,2015,21(4):673-685. [16]HE X S,LI N,YANG X S,et al.Multi-objective Cuckoo Search Algorithm.Journal of System Simulation,2015,27(4):731-737.(in Chinese)贺兴时,李娜,杨新社,等.多目标布谷鸟搜索算法[J].系统仿真学报,2015,27(4):731-737. [17]YANG X S,DEB S.Cuckoo Search via Levy Flights[C]∥Proc.of World Congress on Nature & Biologically Inspired Computing,India.USA:IEEE Publications,2009:210-214. [18]LIU X N,MA M.Application of Cuckoo Algorithm in Multi-threshold Image Segmeutation.Computer Engineering,2013,39(7):274-278.(in Chinese)柳新妮,马苗.布谷鸟搜索算法在多阈值图像分割中的应用[J].计算机工程,2013,39(7):274-278. |
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