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A Review Paper on Image Segmentation, Enhancement, and Classification


Affiliations
1 Research Scholar, Faculty of Engineering Design and Automation, GNA University, Phagwara, India
2 Assistant Professor, Faculty of Computer Science and Engineering, GNA University, Phagwara, India
3 Assistant Professor, Faculty of Computer Science, GNA University, Phagwara, India
 

Image processing is a relatively recent field in which much research has been conducted. Image processing is a signal processing technique that receives an image as input and produces an image or a group of characteristics or qualities connected to images. Image processing aims to improve image quality by removing undesirable features. There are approaches for image segmentation, enhancement, classification, restoration, pattern recognition, extraction, and more. We studied some image processing approaches in depth in this paper, including image segmentation, image enhancement, and image classification, as well as numerous research works on image processing techniques employing various deep learning algorithms.

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  • A Review Paper on Image Segmentation, Enhancement, and Classification

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Authors

Neha
Research Scholar, Faculty of Engineering Design and Automation, GNA University, Phagwara, India
Dr. Sarneet Kaur
Assistant Professor, Faculty of Computer Science and Engineering, GNA University, Phagwara, India
Dr. Hitesh Marwaha
Assistant Professor, Faculty of Computer Science, GNA University, Phagwara, India

Abstract


Image processing is a relatively recent field in which much research has been conducted. Image processing is a signal processing technique that receives an image as input and produces an image or a group of characteristics or qualities connected to images. Image processing aims to improve image quality by removing undesirable features. There are approaches for image segmentation, enhancement, classification, restoration, pattern recognition, extraction, and more. We studied some image processing approaches in depth in this paper, including image segmentation, image enhancement, and image classification, as well as numerous research works on image processing techniques employing various deep learning algorithms.

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References