Circular Filtering and Neutrosophic Extraction of Vincent Van Gogh's Visible Brushstrokes

摘要

Image segmentation is still an open problem in image processing due to the demand of efficient and effective segmentation algorithm. Researchers face many challenges in developing a fully automatic segmentation algorithm for complex scenario. This situation motivated us to explore another concept that can represent the complex scenario well. This paper presents an application of the neutrosophic logic as the generalization of fuzzy logic for extracting visible brushstroke regions in paintings by Vincent van Gogh. Research suggests that neutrosophic logic can represent ambiguity and uncertainty in a better way than fuzzy logic, thus can be used to represent noise and uncertain information that exist in an image. In this work, we observe some digital paintings of Van Gogh by filtering out the existing noise using circular filter and converting them into the neutrosophic domain. The combination of those two methods result in clean, magnified visible brushstroke edges which define important brush region clearly.