Computer Science ›› 2020, Vol. 47 ›› Issue (2): 72-75.doi: 10.11896/jsjkx.190500177
• Computer Graphics & Multimedia • Previous Articles Next Articles
RAO Meng,MIAO Duo-qian,LUO Sheng
CLC Number:
[1]FELZENSZWALB P F,HUTTENLOCHER D P.Efficient Graph-Based Image Segmentation[J].International Journal of Computer Vision,2004,59(2):167-181. [2]ZADEH L A.Toward a Theory of Fuzzy Information Granulation and its Centrality in Human Reasoning and Fuzzy Logic[J].Fuzzy Sets & Systems,1997,90(90):111-127. [3]苗夺谦,王国胤,刘清,等.粒计算:过去、现在与展望[M].北京:科学出版社,2007. [4]PAWLAK Z.Rough Sets[J].International Journal of Parallel Programming,1982,11(5):341-356. [5]苗夺谦,李道国.粗糙集理论、算法与应用[M].北京:清华大学出版社,2008. [6]HU Q H,YU D R,XIE Z X.Numerical Attribute Reduction Based on Neighborhood Granulation and Rough Approximation[J].Journal of Software,2008,19(3):640-649. [7]LI F,MIAO D Q,LIU C H,et al.Image Segmentation Algorithm Based on the Decision-Theoretic Rough Set Model[J].CAAI Transactions on Intelligent Systems,2004,9(2):143-147. [8]ZHANG Y C,GUO H.Level Set Image Segmentation Based on Rough Set and New Energy Formula[J].Acta Automatica Sinica,2015,41(11):1913-1925. [9]VENKATESWARAREDDY E,REDDY E.Image Segmentation Using Rough Set Based Fuzzy K-means Algorithm[J].International Journal of Computer Applications,2014,74(14):36-40. [10]JI Z,HUANG Y,XIA Y,et al.A Robust Modified Gaussian Mixture Model with Rough Set for Image Segmentation[J].Neurocomputing,2017,266:550-565. [11]MOHABE A,RAY A K.Fusion of Rough Set Theoretic Approximations and FCM for Color Image Segmentation[C]∥Conference:Systems,Man,and Cybernetics.2000,2:1529-1534. [12]PAL S K,SHANKAR B U,MITRA P.Granular Computing,Rough Entropy and Object Extraction[J].Pattern Recognition Letters,2005,26(16):2509-2517. [13]MALYSZKO D,STEPANIUK J.Adaptive Multilevel Rough Entropy Evolutionary Thresholding[J].Information Sciences,2009,180(7):1138-1158. [14]SRIKUMAR S,WAGH M,NANDA P K.Adaptive Windowing and Granular Computing Based Image Segmentation[C]∥International Conference on Energy.IEEE,2011. [15]MACQUEEN J B.Some Methods for Classification and Analysis of Multivariate Observations,Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability[C]∥Conference:Proceedings of 5th Symposium on Mathematical Statistics and Probability.1967:281-297. [16]LIN T Y.Granular Computing on Binary Relations in Data Mining and Neighborhood Systems[C]∥Proc.of the Rough Sets in Knowledge Discovery.Physica-Verlag,1998:107-121. [17]WU W Z,ZHANG W X.Neighborhood Operator Systems and Approximations[J].Information Sciences,2002,144(1/2/3/4):201-217. [18]ARBELAEZ P,MAIRE M,FOWLKES C,et al.Contour Detection and Hierarchical Image Segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(5):898-916. |
[1] | FANG Lian-hua, LIN Yu-mei, WU Wei-zhi. Optimal Scale Selection in Random Multi-scale Ordered Decision Systems [J]. Computer Science, 2022, 49(6): 172-179. |
[2] | CHEN Yu-si, AI Zhi-hua, ZHANG Qing-hua. Efficient Neighborhood Covering Model Based on Triangle Inequality Checkand Local Strategy [J]. Computer Science, 2022, 49(5): 152-158. |
[3] | SUN Lin, HUANG Miao-miao, XU Jiu-cheng. Weak Label Feature Selection Method Based on Neighborhood Rough Sets and Relief [J]. Computer Science, 2022, 49(4): 152-160. |
[4] | ZHU Yi-fan, WANG Hai-tao, LI Ke, WU He-jun. Crack U-Net:Towards High Quality Pavement Crack Detection [J]. Computer Science, 2022, 49(1): 204-211. |
[5] | YE Zhong-yu, WU Meng-lin. Choroidal Neovascularization Segmentation Combining Temporal Supervision and Attention Mechanism [J]. Computer Science, 2021, 48(8): 118-124. |
[6] | JIN Hai-yan, PENG Jing, ZHOU Ting, XIAO Zhao-lin. Binocular Image Segmentation Based on Graph Cuts Multi-feature Selection [J]. Computer Science, 2021, 48(8): 150-156. |
[7] | XU Hua-jie, ZHANG Chen-qiang, SU Guo-shao. Accurate Segmentation Method of Aerial Photography Buildings Based on Deep Convolutional Residual Network [J]. Computer Science, 2021, 48(8): 169-174. |
[8] | YANG Xiu-zhang, WU Shuai, XIA Huan, YU Xiao-min. Research on Shui Characters Extraction and Recognition Based on Adaptive Image Enhancement Technology [J]. Computer Science, 2021, 48(6A): 74-79. |
[9] | WEN Xin, YAN Xin-yi, CHEN Ze-hua. Minimal Optimistic Concept Generation Algorithm Based on Equivalent Relations [J]. Computer Science, 2021, 48(3): 163-167. |
[10] | CAO Lin, YU Wei-wei. Adaptive Window Binocular Stereo Matching Algorithm Based on Image Segmentation [J]. Computer Science, 2021, 48(11A): 314-318. |
[11] | GU Xing-jian, ZHU Jian-feng, REN Shou-gang, XIONG Ying-jun, XU Huan-liang. Multi-scale U Network Realizes Segmentation and Recognition of Tomato Leaf Disease [J]. Computer Science, 2021, 48(11A): 360-366. |
[12] | XU Shou-kun, NI Chu-han, JI Chen-chen, LI Ning. Image Caption of Safety Helmets Wearing in Construction Scene Based on YOLOv3 [J]. Computer Science, 2020, 47(8): 233-240. |
[13] | YANG Zhi-wei, DAI Ming and ZHOU Zhi-heng. Surface Defect Detection Method of Industrial Products Based on Histogram Difference [J]. Computer Science, 2020, 47(6A): 247-249. |
[14] | CAO Yi-qin, DUAN Ye-yu, WU Dan. 2D-Otsu Rail Defect Image Segmentation Method Based on WFSOA [J]. Computer Science, 2020, 47(5): 154-160. |
[15] | ZHONG Ya,GUO Yuan-bo,LIU Chun-hui,LI Tao. User Attributes Profiling Method and Application in Insider Threat Detection [J]. Computer Science, 2020, 47(3): 292-297. |
|