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All Journal Bulletin of Electrical Engineering and Informatics
Dayang Suhaida Awang Damit
Universiti Teknologi MARA
Electrical & Electronics Engineering

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Comparative studies of multiscale edge detection using different edge detectors for MRI thigh Belinda Chong Chiew Meng; Dayang Suhaida Awang Damit; Nor Salwa Damanhuri
Bulletin of Electrical Engineering and Informatics Vol 10, No 4: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i4.2220

Abstract

Edge detection plays an important role in computer vision to extract object boundary. Multiscale edge detection method provides a variety of image features by different resolution at multiscale of edges. The method extracts coarse and fine structure edges simultaneously in an image. Due to this, the multiscale method enables more reliable edges are detected. Most of the multiscale methods are not translation invariant due to the decimated process. They mostly depend on the corresponding transform coefficients. These methods need more computation and a larger storage space. This study proposes a multiscale method that uses an average filter to smooth image at three different scales. Three different classical edge detectors namely Prewitt, Sobel and Laplacian were used to extract the edges from the smooth images. The edges extracted from the different scales of smooth images were then combined to form the multiscale edge detection. The performances of the multiscale images extracted from the three classical edge detectors were then compared and discussed.
Co-Authors Belinda Chong Chiew Meng Nor Salwa Damanhuri