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Image Filtering and Edge Detection - Techniques and Applications

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  • Bhaludra R Nadh Singh

Abstract

Image denoising is the manipulation of the image data to produce a visually high-quality image. In this paper, we give a brief overview of various noise models. These noise models can be selected by analysis of their origin. Noise removal is an important task in image processing. In general, the results of the noise removal have a strong influence on the quality of the image processing techniques. The nature of the noise removal problem depends on the type of noise corrupting the image. Edge detection is an image processing technique for finding the boundaries of objects within images. It works by detecting discontinuities in brightness. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision. Edge detection is an important technique in many image processing applications such as object recognition, motion analysis, pattern recognition, medical image processing etc. This paper presents a review on different noises, Noise Filters and Edge detection of image processing.

Suggested Citation

  • Bhaludra R Nadh Singh, 2023. "Image Filtering and Edge Detection - Techniques and Applications," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 9(6), pages 382-396, November.
    • Handle: RePEc:jbh:ijsrcs:v9:y2023:i6:id:hcseit23906781
    Note: Article URL: https://ijsrcseit.com/CSEIT23906781
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