Abstract
Image processing is the use of algorithms to perform various operations on digital images. The techniques that are explained further are image segmentation and image enhancement. Image Segmentation is a method to partition an image into multiple segments, to change the presentation of an image into something more meaningful and easier to analyze. The current image segmentation techniques include region-based segmentation and edge detection segmentation. Image Enhancement is the process of improving the quality of image. Under this section there are two broad divisions- Spatial Domain Technique and Frequency Domain Technique.
Highlights
An image contains a large amount of helpful information, understanding it and extracting information from it to attain work is an important area of demand in image technology, and the first step to inspect the image is image segmentation
3.2 The difference between frequency domain and spatial domain techniques: The spatial domain technique is based on the modification of the pixels in the image whereas the frequency domain technique is based on modifying the Fourier Transform of a digital image
Image segmentation is going to be really useful and wanted in near future as it is the segmentation algorithm that has become the focus of current studies
Summary
Image processing is a process of turning an image into a digital form and mostly performs some method on it, to obtain a recovered image or to get some useful information. It mainly includes below - given steps: 1. 3. Output (which gives a changed image or report based on analysis)
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