Efficient Color Image Segmentation Using Fastmap Algorithm

Abstract

In this paper, a new approach to fast digital image processing is proposed. Digital image processing (DIP) is a rapidly developing technology for quality development for primary products, also referred to as computer or machine vision. In communication systems, digital images have become an information source. Image segmentation is a cue for the field of image analysis and image editing. Our understanding of this field depends on advances in image segmentation and image editing, yet it remains open and challenging. The proposed approach suffers from complexity, improper segmentation, enhanced computing time, etc. To overcome these drawbacks, three segmentation levels are used here. The first stage is the key component analysis that provides more edge knowledge. Quick mapping that maps similar objects in a faster way is the next step. Finally, multidimensional scaling in a picture with the same colours to classify and segment related areas. This technique has a very fast and robust benefit. It also offers improved picture quality.

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