A Study of Object Detection in Image Processing
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Abstract
Nowadays, we live in a world where data processing is very important. Power holds those who have the information. Making something out of all those data is becoming a challenge. Image is also one type of data by processing it we get to extract some useable information from it. In computer science, Image processing is the use of digital computers to process a digital image through an algorithm.
Digital image processing can be applied to wide range of fields such as pattern recognition, video processing, and for various business application, medical imagining and industrial automation, etc. Object Detection is a computer technology associated with processing of image and detecting instances of semantic objects. It allows us to understand the scene and to examine it in image or video, deep learning has been applied to object detection in recent years. So this paper discusses and analyzed different methods for image classification and optimized the best algorithm from them for object detection.
Digital image processing can be applied to wide range of fields such as pattern recognition, video processing, and for various business application, medical imagining and industrial automation, etc. Object Detection is a computer technology associated with processing of image and detecting instances of semantic objects. It allows us to understand the scene and to examine it in image or video, deep learning has been applied to object detection in recent years. So this paper discusses and analyzed different methods for image classification and optimized the best algorithm from them for object detection.
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How to Cite
1.
Sayyed S, Patkar S, Patil A, Patil M. A Study of Object Detection in Image Processing. sms [Internet]. 30Jun.2020 [cited 27Dec.2024];12(SUP 1):133-6. Available from: https://smsjournals.com/index.php/SAMRIDDHI/article/view/1921
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Research Article
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