Digital Image Processing using MATLAB
Arsath Natheem is an Indian biomedical engineer and YouTuber. He is particularly interested in blockchain technology, artificial intelligence, and data science. He received the award for best project for a human interaction intelligence robot and an IoT-based voice recognition robot for defense applications. He was interested in data science research and content creation, and he now works as a self-publishing author and technical writer on Amazon.
Digital Image Processing using MATLAB will teach you everything you need to know about digital image processing. The significance and necessity of image processing stem from two application areas: the first is data improvement for individual interpretation, and the second is data processing for machine perception. The book is considered one of the best books on image processing.
Remote sensing, image and information storage for transmission in acoustic imaging, medical imaging, business applications, forensic sciences, and industrial automation are all examples of digital image processing applications. Images aid in the tracking and mapping of earth resources, as well as the forecasting of urban populations, agricultural crops, climate forecasting, flooding, and fire control. Space imaging applications include object comprehension and analysis in images obtained from deep space probe missions. Medical programs include X-Ray processing, Ultrasonic scanning, Electron micrographs, Magnetic Resonance Imaging, Nuclear Magnetic Resonance Imaging, and others.
Aside from the aforementioned applications, digital image processing is used to solve a variety of problems. Even if unrelated, these issues frequently necessitate methods for improving information. Image manipulation Images that have been degraded or blurred are treated using procedures such as restoration and image enhancement. Image processing concepts are being used effectively in defense, astronomy, biology, medical, and industrial applications. In terms of Medical Imaging, almost all of the images could be used in the detection of tumors or in the viewing of patients. The current primary application of digital image processing (DIP) methods is to solve the problem of machine vision in order to achieve superior results.
Author: Arsath Natheem
Link to buy: https://www.amazon.com/gp/aw/d/1973565153/
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