·158· 智能系统学报 第13卷 gress of image thresholding methods in recent 20 years sional Tsallis gray entropy image thresholding using chaot- (1994-2014)[J].Journal of data acquisition and processing. ic particle swarm optimization or decomposition[J].Journ- 2015,30(01):1-23 al of image and graphics,2012,17(8):902-910. 3]吴一全，孟天亮，王凯.基于斜分倒数交叉嫡和蜂群优化 [13]SARKAR S,DAS S.Multilevel image thresholding based 的火焰图像阈值选取].光学精密工程，2014,22(1)： on 2D histogram and maximum tsallis entropy-a differen- 235-243. tial evolution approach[J].IEEE transactions on image pro- WU Yiquan,MENG Tianliang,WANG Kai.Threshold se- cessing,2013,22(12):4788-4797. lection of flame image based on reciprocal cross entropy and [14]潘喆，吴一全.二维Reyi嫡图像阈值选取快速递推算法 bee colony optimization[J].Optics and precision engineer- [).中国体视学与图像分析，2007,12(2)：93-97. ing,2014,22(1)235-243. PAN Zhe,WU Yiquan.Fast recurring algorithms of image [4]吴一全，张金矿.二维直方图0划分最大平均离差阈值分 thresholding based on two-dimensional Renyi's entropy[J]. 割算法).自动化学报，2010,36(5)：634-643. Chinese journal of stereology and image analysis,2007. WU Yiquan,ZHANG Jinkuang.Image thresholding based 12(2:93-97. on two-dimensional histogram 0-division and maximum [l5]顾晓清，孙玉强，侯振杰.鲁棒的二维Renyi嫡图像阈值 between-cluster deviation criterion[J].Acta automatica sin- 分割快速算法计算机科学，2012,39(9)：284-288。 ica,2010,36(5):634-643. GU Xiaoqing,SUN Yugiang,HOU Zhenjie.Fast robust [5]YIN Jun,WU Yiquan,ZHU Li.Multi-thresholding based on thresholding method based on two-dimensional Renyi's en- symmetric Tsallis-cross entropy and particle swarm optimiz- tropy[J].Computer science,2012,39(9):284-288 ation[J].Advanced materials research,2013,760-762: [16]TEIXEIRA A,MATOS A,ANTUNES L.Conditional 1457-1461. renyi entropies[J].IEEE transactions on information the- 6]LIU Yaoyong,LI Shuguang.Two-dimensional arimoto en- oy,2012,58(7):4273-4277. tropy image thresholding based on ellipsoid region search [17刀雷博.二维直线型Renyi嫡阈值分割方法).西安邮电 strategy[C]//Proceedings of 2010 International Conference 学院学报，2010,153)：19-22 on Multimedia Technology.Ningbo,China,2010:1-4. LEI Bo.Two-dimensional thresholding method based on [7]MAHMOUDI L,ZAART A E.A survey of entropy image linear-type Renyi entropy[J].Journal of Xi'an university of thresholding techniques[C]//Proceedings of the 2nd Interna- posts and telecommunications,2010,15(3):19-22 tional Conference on Advances in Computational Tools for [18]YANG X S,DEB S.Cuckoo search via Levy flights[C]// Engineering Applications.Beirut,Lebanon,2012:204-209. Proceedings of 2009 World Congress on Nature and Biolo- [8]朱磊.自适应阈值分割技术及在工业视觉检测中的应用 gically Inspired Computing.Coimbatore,India,2009: 210-214. [D].无锡：江南大学，2014 ZHU Lei.Adaptive threshold segmentation technology and [19]周欢，李煜.具有动态惯性权重的布谷鸟搜索算法凹.智 its application in industrial visual inspection[D].Wuxi:Ji- 能系统学报，2015,10(4)：645-651. angnan University,2014 ZHOU Huan,LI Yu.Cuckoo search algorithm with dy- 9]曹建农.图像分割的嫡方法综述.模式识别与人工智能 namic inertia weight[J].CAAl transactions on intelligent systems,.2015,10(4):645-651 2012,25(6):958-971. CAO Jiannong.Review on image segmentation based on en- [20]YANG X S,DEB S.Engineering optimisation by cuckoo tropy[J].Pattern recognition and artificial intelligence,2012, search[J].International journal of mathematical modelling and numerical optimisation,2010,1(4):330-343 25(6:958-971. [10]张弘，范九伦.二维Arimoto嫡直线型阈值分割法).光 作者简介： 子学报，2013,42(2：234-240 马英辉，女，1979年生，讲师，硕 ZHANG Hong.FAN Jiulun.Two-dimensional Arimoto en- 士研究生，主要研究方向为图像处理 tropy linear-type threshold segmentation method[J].Acta 与分析、图像处理与视频通信。发表 photonica sinica,2013,42(2):234-240. 学术论文7篇。 [1】吴一全，王凯，曹鹏祥.蜂群优化的二维非对称Tsallis交 叉嫡图像阈值选取[J】.智能系统学报，2015,10(1)： 103-112. WU Yiquan,WANG Kai,CAO Pengxiang.Two-dimen- sional asymmetric Tsallis cross entropy image threshold se- 吴一全，男，1963年生，教授，博 lection using bee colony optimization[J].CAAI transac- 士生导师，博土，主要研究方向为图像 tions on intelligent systems,2015,10(1):103-112 处理与分析、目标检测与识别、智能信 [12]吴一全，吴诗婳，张晓杰.利用混沌PS0或分解的2维 息处理。发表学术论文280余篇，被 Tsallis灰度嫡阈值分割[J].中国图象图形学报，20I2, SCI、EI检索160余篇。 17(8):902-910 WU Yiquan,WU Shihua,ZHANG Xiaojie.Two-dimengress of image thresholding methods in recent 20 years (1994-2014)[J]. Journal of data acquisition and processing, 2015, 30(01): 1–23. 吴一全, 孟天亮, 王凯. 基于斜分倒数交叉熵和蜂群优化 的火焰图像阈值选取[J]. 光学精密工程, 2014, 22(1): 235–243. WU Yiquan, MENG Tianliang, WANG Kai. Threshold se￾lection of flame image based on reciprocal cross entropy and bee colony optimization[J]. Optics and precision engineer￾ing, 2014, 22(1): 235–243. [3] 吴一全, 张金矿. 二维直方图 θ-划分最大平均离差阈值分 割算法[J]. 自动化学报, 2010, 36(5): 634–643. WU Yiquan, ZHANG Jinkuang. Image thresholding based on two-dimensional histogram θ-division and maximum between-cluster deviation criterion[J]. Acta automatica sin￾ica, 2010, 36(5): 634–643. [4] YIN Jun, WU Yiquan, ZHU Li. Multi-thresholding based on symmetric Tsallis-cross entropy and particle swarm optimiz￾ation[J]. Advanced materials research, 2013, 760-762: 1457–1461. [5] LIU Yaoyong, LI Shuguang. Two-dimensional arimoto en￾tropy image thresholding based on ellipsoid region search strategy[C]//Proceedings of 2010 International Conference on Multimedia Technology. Ningbo, China, 2010: 1–4. [6] MAHMOUDI L, ZAART A E. A survey of entropy image thresholding techniques[C]//Proceedings of the 2nd Interna￾tional Conference on Advances in Computational Tools for Engineering Applications. Beirut, Lebanon, 2012: 204–209. [7] 朱磊. 自适应阈值分割技术及在工业视觉检测中的应用 [D]. 无锡: 江南大学, 2014. ZHU Lei. Adaptive threshold segmentation technology and its application in industrial visual inspection[D]. Wuxi: Ji￾angnan University, 2014. [8] 曹建农. 图像分割的熵方法综述[J]. 模式识别与人工智能, 2012, 25(6): 958–971. CAO Jiannong. Review on image segmentation based on en￾tropy[J]. Pattern recognition and artificial intelligence, 2012, 25(6): 958–971. [9] 张弘, 范九伦. 二维 Arimoto 熵直线型阈值分割法[J]. 光 子学报, 2013, 42(2): 234–240. ZHANG Hong, FAN Jiulun. Two-dimensional Arimoto en￾tropy linear-type threshold segmentation method[J]. Acta photonica sinica, 2013, 42(2): 234–240. [10] 吴一全, 王凯, 曹鹏祥. 蜂群优化的二维非对称 Tsallis 交 叉熵图像阈值选取[J]. 智能系统学报, 2015, 10(1): 103–112. WU Yiquan, WANG Kai, CAO Pengxiang. Two-dimen￾sional asymmetric Tsallis cross entropy image threshold se￾lection using bee colony optimization[J]. CAAI transac￾tions on intelligent systems, 2015, 10(1): 103–112. [11] 吴一全, 吴诗婳, 张晓杰. 利用混沌 PSO 或分解的 2 维 Tsallis 灰度熵阈值分割[J]. 中国图象图形学报, 2012, 17(8): 902–910. WU Yiquan, WU Shihua, ZHANG Xiaojie. Two-dimen- [12] sional Tsallis gray entropy image thresholding using chaot￾ic particle swarm optimization or decomposition[J]. Journ￾al of image and graphics, 2012, 17(8): 902–910. SARKAR S, DAS S. Multilevel image thresholding based on 2D histogram and maximum tsallis entropy—a differen￾tial evolution approach[J]. IEEE transactions on image pro￾cessing, 2013, 22(12): 4788–4797. [13] 潘喆, 吴一全. 二维 Renyi 熵图像阈值选取快速递推算法 [J]. 中国体视学与图像分析, 2007, 12(2): 93–97. PAN Zhe, WU Yiquan. Fast recurring algorithms of image thresholding based on two-dimensional Renyi’s entropy[J]. Chinese journal of stereology and image analysis, 2007, 12(2): 93–97. [14] 顾晓清, 孙玉强, 侯振杰. 鲁棒的二维 Renyi 熵图像阈值 分割快速算法[J]. 计算机科学, 2012, 39(9): 284–288. GU Xiaoqing, SUN Yuqiang, HOU Zhenjie. Fast robust thresholding method based on two-dimensional Renyi’s en￾tropy[J]. Computer science, 2012, 39(9): 284–288. [15] TEIXEIRA A, MATOS A, ANTUNES L. Conditional rényi entropies[J]. IEEE transactions on information the￾ory, 2012, 58(7): 4273–4277. [16] 雷博. 二维直线型 Renyi 熵阈值分割方法[J]. 西安邮电 学院学报, 2010, 15(3): 19–22. LEI Bo. Two-dimensional thresholding method based on linear-type Renyi entropy[J]. Journal of Xi’an university of posts and telecommunications, 2010, 15(3): 19–22. [17] YANG X S, DEB S. Cuckoo search via Lévy flights[C]// Proceedings of 2009 World Congress on Nature and Biolo￾gically Inspired Computing. Coimbatore, India, 2009: 210–214. [18] 周欢, 李煜. 具有动态惯性权重的布谷鸟搜索算法[J]. 智 能系统学报, 2015, 10(4): 645–651. ZHOU Huan, LI Yu. Cuckoo search algorithm with dy￾namic inertia weight[J]. CAAI transactions on intelligent systems, 2015, 10(4): 645–651. [19] YANG X S, DEB S. Engineering optimisation by cuckoo search[J]. International journal of mathematical modelling and numerical optimisation, 2010, 1(4): 330–343. [20] 作者简介： 马英辉，女，1979 年生，讲师，硕 士研究生，主要研究方向为图像处理 与分析、图像处理与视频通信。发表 学术论文 7 篇。 吴一全，男，1963 年生，教授，博 士生导师，博士，主要研究方向为图像 处理与分析、目标检测与识别、智能信 息处理。发表学术论文 280 余篇，被 SCI、EI 检索 160 余篇。 ·158· 智 能 系 统 学 报 第 13 卷