Abstract
Image segmentation is the fundamental step to analyze images and extract data from them. This paper concentrates on the idea behind the basic methods used. Image segmentation is the process of partitioning a digital image into multiple segments(i. e. sets of pixels). The goal of segmentation is to simplify or change the representation of an image into something that is more meaningful and easier to analyze. Segmentation is typically used to locate objects and boundaries(line, curve) in image. The Image segmentation is a set of segments that collectively cover the entire image. Each of pixels in a region are similar with respect to some characteristics colour, intensity or texture. The various segmentation techniques discussed in this paper.
Highlights
Image processing is one of the most important techniques which is used in many areas like Object detection, Diagnostic, Image analysis, Surgical Planning Robotics, Localization of tumors, Trace objects in satellite images, Traffic control systems, face recognition, Image Understanding Model, etc
Types of image segmentation methods: 3. Segmentation by Region based : 1. Semantic Segmentation : Semantic Segmentation is the process of segmenting the image pixels into their respective classes and is given the same label/color value
Image processing is the general issue in today’s era, when we work with computer vision
Summary
Image processing is one of the most important techniques which is used in many areas like Object detection, Diagnostic, Image analysis, Surgical Planning Robotics, Localization of tumors, Trace objects in satellite images (roads, forests, etc. ), Traffic control systems, face recognition, Image Understanding Model, etc. ), Traffic control systems, face recognition, Image Understanding Model, etc. Image Segmentation is the process of assigning a label to every pixel in an image. Is a sub field of Artificial intelligence and computer vision. It is typically used to locate objects and boundaries in images. We might have wondered how fast and efficiently our brain is trained to identify and classify what our eyes perceive. Somehow our brain is trained in a way to analyze everything at a granular level. This helps us distinguish an apple from a bunch of oranges. Computer vision is a field of computer science that enables computers to identify and process objects in videos and images just the way we humans do
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