Edge Detection by Morphological Operations and Fuzzy Reasoning

2008 ◽  
Author(s):  
Rey-Sern Lin
Keyword(s):  
Edge Detection ◽  
Fuzzy Reasoning ◽  
Morphological Operations

scholarly journals Optic nerve disc mathematical parameterization and the statistical comparison with measurements

2010 ◽  
Vol 51 ◽  
Author(s):  
Vytautas Tiešis ◽  
Povilas Treigys
Keyword(s):  
Optic Nerve ◽  
Edge Detection ◽  
Statistical Tests ◽  
Automatic Measurement ◽  
Least Square Method ◽  
Least Square ◽  
Morphological Operations ◽  
Statistical Comparison ◽  
Diagnostic Parameters ◽  
Significant Difference

The paper deals with the automatic measurement of the optic nerve disc diagnostic parameters from eye fundus digital images. The automation gives objective measurements, in contrast to measurements by physicians that have large variance. The disc shape has been detected by the use of mathematical morphological operations, of Canny’s edge detection, of geometric Hough’s transformation and of the approximation by the least square method. The statistical tests confirm that there is no significant difference between measurements performed by physicians and automatic measurements.

scholarly journals Edge Detection to Indication Brain Tumor Using Sobel and Morphological Operations Methods Based on Image Magnetic Resonance Imaging

2018 ◽  
Vol 3 (2) ◽  
pp. 179
Author(s):  
Oscar Adriyanto ◽  
Halim Agung
Keyword(s):  
Magnetic Resonance Imaging ◽  
Brain Tumor ◽  
Magnetic Resonance ◽  
Brain Tumors ◽  
Edge Detection ◽  
Morphological Operations ◽  
Resonance Imaging ◽  
Edge Detection Method ◽  
Tumor Edge ◽  
The Brain

Brain tumors are the second leading cause of death in the world in children under 20, scientists and researchers are developing applications to react brain tumors based on magnetic resonance imaging images. In this application the method used is sobel and morphological operations. Based on research conducted on brain tumor edge detection based on magnetic resonance imaging image, sobel method can reduce the noise contained in the image mri and can localize the edge of the image of Magnetic Resonance Imaging well. This research can conclude that the sobel method is suitable for edge detection but there is still some unprocessed noise, with the results of the brain imaging of 30 test images have 60% percentage, while for the use of edge detection method of 62.11%.

A Novel Improved Edge Detection Method

2011 ◽  
Vol 225-226 ◽  
pp. 1096-1099
Author(s):  
Yan Ying Guo ◽  
Yan Ying Guo
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Adaptive Algorithms ◽  
Morphological Operations ◽  
Training Method ◽  
Morphological Operators ◽  
Structuring Element ◽  
Edge Strength ◽  
Addition And Subtraction ◽  
Edge Detection Method

In this paper, a novel morphological edge detection using adaptive weighted morphological operators is presented. The newly introduced operators employ weighted structuring element (SE) and apply multiplication or division in place of addition and subtraction in classical morphological operations. It judges its edge and its direction by means of training method and differentiable equivalent representations for the operators, efficient adaptive algorithms to optimize SEs are derived. The gradient of the adaptive weighted morphology utilizes a set of SEs to detect the edge strength with a view to decrease the spurious detail edge and suppressed the noise. Results will be presenting for images in comparison with the others edging detectors.

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