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
- Al-Hikmah University, Ilorin, Kwara State 2
- AL-ISTIQAMAH UNIVERSITY, SUMAILA, KANO STATE 1
- Al-Qalam University, Katsina, Katsina State 5
- Alex Ekwueme Federal University, Ndufu-Alike, Ebonyi State 87
- Alvan Ikoku College of Education, Imo State, (Affl To Univ of Nigera, Nsukka) 11
- Ambrose Alli University, Ekpoma, Edo State 479
- Anambra State College of Health Technology, Obosi, Anambra State 1
- Auchi Polytechnic, Auchi, Edo State 503
- Auchi Polytechnic, Auchi, Edo State. (affl To Nnamdi Azikiwe University, Awka) 3
- Audu Bako College of Agriculture Danbatta, Kano, Kano State 54