Importance of Image Morphological Features in Continues Learning

A deep neural network is a fantastic and effective method for image processing. However, the pixel values are based on continuous learning leading to forgetting the previous information from the system. This forgetting problem also affects the result of deep learning. Morphology is structure-based image processing action that processes the input image based on its shape features. In a leaf identification system, leaf morphological features include shape, apex, base, edge and vein. Leaf morphological features are helping to study the structural information of a leaf image. The image morphological feature concentrates on the image structure so the image morphological feature based deep learning system that helps the artificial brain to focus on image features. So, in this article, a solution for the forgetting problem of continuous learning, using the image morphological feature is provided.