Color Based Segmentation with k-Means Clustering Algorithm and Numerical Analysis of the Effect of Color Spaces on Image Quantities.

Authors : Hamit ARMAĞAN

Pages : 1506-1517

Doi:10.31202/ecjse.1141148

View : 16 | Download : 8

Publication Date : 2022-12-31

Article Type : Research Paper

Abstract :Color spaces such as RGB, Lab and HSV are used in image processing applications. Color spaces are the representation of pixels of an image in matrix format using different mathematical methods. By using these color spaces, the image is digitized and converted to a matrix format. In our study, as a method, color-based clustering was performed on the color image by using the \`K-Means clustering\` algorithm, and the effect of color spaces on image quantities was given in an applied and comparative manner. Values such as the number of objects in the image and the number of pixels of the objects were calculated as image quantities. By digitizing the images, their attributes were obtained separately for different color spaces. These calculated values are given comparatively in RGB, Lab and HSV color spaces.
Keywords : bilgisayarlı görü, renk uzayı, görüntü eşikleme, görüntü bölütleme