Image Denoising based on Segmentation and Shape Analysis for Vegetables and Fruits Image

Abstract

In this research work adopted the image de-noising scheme which is embedded using modified median filter, segmentation and edge detection method. The classical modified median filter replaces the central pixel in a window with the median of the pixels into this window. The modified median is the value of the pixel that occupies the central position when arrange the window pixels in ascending order. Image segmentation is the process of partitioning a digital image into multiple segments. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Edge detection is an image processing technique for finding the boundaries of objects within images. It works by detecting discontinuities in brightness. The simulation is done in MATLAB and simulation results of proposed method gives improved result than the existing method. Index Terms: Image Segmentation, Image De-noising, Edge Detection, Modified Median Filter

Authors and Affiliations

Mrs. Aparna Singh Kushwah, Aditya Bhalavi

Keywords

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  • EP ID EP394446
  • DOI 10.9790/9622-0806055055.
  • Views 112
  • Downloads 0

How To Cite

Mrs. Aparna Singh Kushwah, Aditya Bhalavi (2018). Image Denoising based on Segmentation and Shape Analysis for Vegetables and Fruits Image. International Journal of engineering Research and Applications, 8(6), 50-55. https://europub.co.uk./articles/-A-394446