[1] LIN K, WU J, XU L. A survey on color image segmentation techniques [J]. Journal of Image and Graphics, 2005, 10(1): 1-10.(林开颜,吴军辉,徐立鸿.彩色图像分割方法综述[J].中国图象图形学报,2005,10(1):1-10.) [2] LI Y Z, ZHANG D, XU Y. Modified local entropy-based transition region extraction and thresholding [J]. Applied Soft Computing, 2011, 11(8): 5630-5638. [3] LI J, DANG J, WANG X, et al. Image threshold segmentation algorithm based on the biochemistry reaction rate [J]. Opto-Electronic Engineering, 2014, 41(11): 44-50.(李积英,党建武,王小鹏,等.基于生化反应速率的图像阈值分割算法[J].光电工程,2014,41(11):44-50.) [4] MAINI R, AGGARWAL D H. Study and comparison of various image edge detection techniques [J]. International Journal of Image Processing, 2009, 3(1):1-12. [5] NIU S, WANG S, YANG J, et al. A fast image segmentation algorithm fully based on edge information [J]. Journal of Computer-Aided Design and Computer Graphics, 2012, 24(11): 1410-1419.(钮圣城,王盛,杨晶晶,等.完全基于边缘信息的快速图像分割算法[J].计算机辅助设计与图形学学报,2012,24(11):1410-1419.) [6] SHIH F Y, CHENG S. Automatic seeded region growing for color image segmentation [J]. Image and Vision Computing, 2005, 23(10): 877-886. [7] LENG M, BAO S. Color image segmentation algorithm based on hue level histogram and region merging [J]. Journal of Computer Applications, 2010, 30(3): 653-656.(冷美萍,鲍苏苏.基于色调直方图和区域合并的彩色图像分割算法[J].计算机应用,2010,30(3):653-656.) [8] PAL N R, PAL S K. A review on image segmentation techniques [J]. Pattern Recognition, 1993, 26(9): 1277-1294. [9] CAMPADELLI P, MEDICI D, SCHETTINI R. Color image segmentation using Hopfield networks [J]. Image and Vision Computing, 1997, 15(3): 161-166. [10] SMITH A R, BLINN J F. Blue screen matting [C]// Proceedings of the 1996 ACM SIGGRAPH Conference on Computer Graphics. New York: ACM, 1996: 259-268. [11] MOHABEY A, RAY A K. Rough set theory based segmentation of color images [C]// Proceedings of the 19th International Conference of the North American Fuzzy Information Processing Society. Piscataway: IEEE, 2000: 338-342. [12] CHENG H, SUN Y. A hierarchical approach to color image segmentation using homogeneity [J]. IEEE Transactions on Image Processing, 2000, 9(12): 2071-2082. [13] ALVARADO-CERVANTES R, FELIPE-RIVERON E M. An a-daptive color similarity function for color image segmentation [C]//CIARP 2011: Proceedings of the 16th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications, LNCS 7042. Berlin: Springer, 2011: 113-124. [14] ALVARADO-CERVANTES R, FELIPE-RIVERON E. Improved HSI color space for color image segmentation [C]// CIARP 2012: Proceedings of the 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications, LNCS 7441. Berlin: Springer, 2012: 348-354. [15] ZHANG C, WANG P. A new method of color image segmentation based on intensity and hue clustering [C]// ICPR 2000: Proceedings of the 15th International Conference on Pattern Recognition. Piscataway: IEEE, 2000: 613-616. [16] JU Z, CHEN J, ZHOU J. Image segmentation based on the HSI color space and an improved mean shift [C]// IETICT 2013: Proceedings of the 2013 IET International Conference on Information and Communications Technologies. Piscataway: IEEE, 2013: 135-140. [17] PAWLAK Z. Rough sets: Theoretical aspects of reasoning about data [M]. Norwell: Kluwer Academic Publishers, 1991: 9-16. [18] ZHANG Y. Image engineering (Ⅲ): image understanding [M]. Beijing: Tsinghua Publishing House, 2007: 340-343.(章毓晋.图像工程(下册):图像理解[M].北京:清华大学出版社,2007:340-343.) [19] MUSHRIF M M, RAY A K. Color image segmentation: rough-set theoretic approach [J]. Pattern Recognition Letters, 2008, 29(4): 483-493. [20] CHENG H, JIANG X, WANG J. Color image segmentation based on homogram thresholding and region merging [J]. Pattern Recognition, 2002, 35(2): 373-393. |