Abstract
Histon and feature extracted by it, Basic Histon Roughness Index (BHRI), have been previously employed in image segmentation and moving object detection with outstanding performances. This work incorporates Atanassov's Intuitionistic Fuzzy Sets (A-IFS) theory to the concept of histon and extends 3D Basic Histon Roughness Index (3DBHRI) to Atanassov's Intuitionistic 3D Basic Histon Roughness Index. In addition, an adaptive Gaussian membership function is proposed for constructing Atanassov's Intuitionistic 3D Fuzzy Histon Roughness Index (A-IA3DFHRI). A-IFS provides a flexible framework to deal with hesitancy along with the vagueness originating from the imperfect, imprecise and noisy information. The proposed model has been rigorously tested and compared with several previous state-of-the-art models and shows significant performance improvements.
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