Image processing is a complex process that involves various techniques and algorithms. There is no fixed pattern and hence there are limits on adopting the image processing in any process. Present work is a thorough review of the different applications of immage processing technique in various fields of modern engineering. Digital image processing (DIP) is being used in various applications such as video modification, biometric systems in offices, endoscopy, quality monitoring in textile and other prodcution industries, digital photograph enhancing, signature varification etc. It also gives thorough insight of various techniques involved in the image processing such as image aquisition, image segmentation, image transformation, image restoration, image compression etc. The advantages and limitations of certain strategies and algorithms used in image processing such as SIFT, SURF, BRIEF and ORB are discussed in detail.
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Author Name: Reshma Deshmukh and Anup Vibhute
URL: View PDF
Keywords: Image Processing DIP Image Restoration Image Segmentation Image Enhancement Image Processing Algorithms SIFT SURF BRIEF ORB
ISSN: 2320-5407
EISSN: 2320-5407
EOI/DOI: 10.21474/IJAR01/11152
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