An Approach to Image Segmentation Using K-Means Algorithm
Student: Victor Ejeh Jacob (Project, 2025)
Department of Computer Engineering
Osun State Polytechnic, Iree, Osun State
Abstract
ABSTRACT
This project proposes a color-based segmentation method that uses K-means clustering technique. The k-means algorithm is an iterative technique used to partition an image into k clusters. The standard K-Means algorithm produces accurate segmentation results only when applied to images defined by homogenous regions with respect to texture and color since no local constraints are applied to impose spatial contimity. At first, the pixels are clustered based on their color and spatial features, where the clustering process is accomplished. Then the clustered blocks are merged to a specific number of regions. This approach thus provides a feasible new solution for image segmentation which may be helpful in image retrieval.
Keywords
For the full publication, please contact the author directly at: victorjacob461@gmail.com
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Institutions
- University of Ilorin, Kwara State 403
- University of Jos, Jos, Plateau State 19
- University of Lagos 18
- University of Maiduguri ( - Elearning), Maiduguri, Borno State 3
- University of Maiduguri, Borno State 109
- University of Nigeria, Nsukka, Enugu State 270
- University of Port Harcourt Teaching Hospital, Port Harcourt , River State 6
- University of Port-Harcourt, Rivers State 177
- University of Uyo, Akwa Ibom State 209
- Usmanu Danfodio University, Sokoto, Sokoto State 245