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Rough and Accurate Segmentation of Natural Images Using Fuzzy Region-Growing Algorithm.

, , , , and . ICIP (3), page 227-231. IEEE, (1999)

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Integration of local fractal dimension and boundary edge in segmenting natural images., , , and . ICIP (1), page 845-848. IEEE Computer Society, (1996)Multiwindowed Approach to the Optimum Estimation of the Local Fractal Dimension for Natural Image Segmentation., , , , and . ICIP (3), page 222-226. IEEE, (1999)Fuzzy region-growing segmentation of natural images using local fractal dimension., , , , and . ICPR, page 991-993. IEEE Computer Society, (1998)Effect of Fuzzy and Crisp Clustering Algorithms to Design Code Book for Vector Quantization in Applications., , and . BIOSIGNALS, page 198-205. SciTePress, (2015)Two-Dimensional Fractal Segmentation of Natural Images., , , , and . ICIAP (1), volume 1310 of Lecture Notes in Computer Science, page 287-294. Springer, (1997)Associative memory system using fuzzy sets., , and . ICPR, page 331-333. IEEE Computer Society, (1998)A Comparative Study to Design a Code Book for Vector Quantization., , , and . IJCCI (ICFC-ICNC), page 79-84. SciTePress, (2010)Number-Driven Perceptual Segmentation of Natural Color Images for Easy Decision of Optimal Result., , , and . ICIP (2), page 265-268. IEEE, (2007)Rough and Accurate Segmentation of Natural Images Using Fuzzy Region-Growing Algorithm., , , , and . ICIP (3), page 227-231. IEEE, (1999)Unsupervised Perceptual Segmentation of Natural Color Images Using Fuzzy-Based Hierarchical Algorithm., , , and . SCIA, volume 4522 of Lecture Notes in Computer Science, page 462-471. Springer, (2007)