Partitional clustering-based image segmentation is one of the most significant approaches.
K-means is the conventional clustering techniques even though very sensitive to noise and …

Rain spots on green plum are superficial micro-defects. Defect detection based on a two-
dimensional image is easily influenced by factors such as placement position and light and …

Clustering technique is used in image segmentation because of its simple and easy
approach. However, the existing clustering techniques required prior information as input …

Data clustering is a basic technique to show the structure of a data set. K-means clustering is
a widely acceptable method of data clustering, which follow a partitioned approach for …

Image segmentation still remains an important task in image processing and analysis.
Sequel to any segmentation process, preprocessing activities carried out on the images …