and climate conditions, different view point and occlusions. Additionally the animal of different classes looks similar.
All these challenges need an efficient algorithm to classify the animals.
Classification of animals mainly has three stages viz., segmentation, feature extraction, and classification.
Segmentation subdivides the image into its constituent objects. The goal is to do object recognition. Since the object
of our interest is some part in the image and it is combined with other regions, segmentation is carried out to get the
object of our interest and discard the background. Animals are often surrounded by plants or trees and shadow in the
background. So segmentation is carried out to get the animal region which is only the region of our interest in it.