Image segmentation for animals in the wild using scilab software

Abstract

Image segmentation is an effective computer vision method that expands on the concept of object. Recognition and brings in a whole new era of image data manipulation. This method offers up so many options and may be performed in several ways. However, in this paper, threshold and channel image separation were employed to perform two types of segmentation. Thresholding is a regional segmentation in and of itself. However, thresholding alone is insufficient to properly segment the image, necessitating the employment of additional image processing techniques, such as the morphological process, to provide sharper segmentation. Depending on the color diversity of the image's pixels, different segmentation parameters, such as the thresholding value and structuring element for the morphological process, are required for image segmentation. Overall, the two images have been successfully segmented via two distinct methods