Knowledge Based Image Segmentation with Semantic Concepts

Image processing is an innovative area of research in information processing. Within a short duration to holds are steps in every part of human life. Among them image identification and retrieval is the common task to access the desired image from the image databases. Towards its advanced journey image segmentation is a complex as well as and necessary task in knowledge bases image processing system. It segments or divides an image into regions and the labelling of the regions is a challenging problem. In this paper we have analysed various methods on knowledge based semantic segmentation and labelling of images. In this comparative analysis every methods has the vague and complex process. Such complexity motivates to propose a new light weight model to segment the image with necessary conceptual approaches to obtain a fruitful output. The model to be experimented in future with a adopted labelling and segmentation with semantic features in the generation of semantic codebook. This code book will provide and efficient performance in segmentation and also for other related processing.