ENHANCED NON-LINEAR FILTERING SCHEME FOR EDGE DETECTION
Edge detection plays an important role in image processing. Edge detectors have always been a compromising between information and noise. Since edge detection is a derivative operation, it tends to amplify noise. This means that increasing the amount of information may increase the noise as well. Th...
Main Authors: | HAIDER O. LAWEND, ANUAR M. MUAD, A. HUSSAIN |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor's University
2018-07-01
|
Series: | Journal of Engineering Science and Technology |
Subjects: | |
Online Access: | http://jestec.taylors.edu.my/Vol%2013%20issue%207%20July%202018/13_7_17.pdf |
Similar Items
-
MID Filter: An Orientation-Based Nonlinear Filter For Reducing Multiplicative Noise
by: Ibrahim Furkan Ince, et al.
Published: (2019-08-01) -
Lifting Scheme-Based Sparse Density Feature Extraction for Remote Sensing Target Detection
by: Ling Tian, et al.
Published: (2021-05-01) -
Efficient computer aided diagnosis of abnormal parts detection in magnetic resonance images using hybrid abnormality detection algorithm
by: Lakshmi Devasena C., et al.
Published: (2013-09-01) -
Robust Hyperspectral Feature Extraction Method Using Edge Preserving Filters and Intrinsic Image Decomposition
by: Ali Can Karaca
Published: (2020-07-01) -
Feature extraction in batik image geometric motif using canny edge detection
by: Muhammad Fikri Hidayattullah, et al.
Published: (2020-01-01)