A review paper on image segmentation techniques based on colour and texture features

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Abstract

In image processing and computer vision, image segmentation plays a crucial role. It finds a place in many image applications. Texture and colour features and its combination are among the main features used in image segmentation. This paper presents the literature review for colour-based segmentation techniques and texture-based segmentation techniques. The main objective for this paper is to provide the recent trends of both the color and texture segmentation technique in image segmentation as well as presenting the most popular evaluation measurements used for image segmentation. At the end of this paper, the conclusion for future work and its direction is presented.

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APA

Aloun, M. S., Hitam, M. S., Yussof, W. N. J. H. W., & Bachok, Z. (2023). A review paper on image segmentation techniques based on colour and texture features. In AIP Conference Proceedings (Vol. 2484). American Institute of Physics Inc. https://doi.org/10.1063/5.0114074

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