scholarly journals Extraction of low cost houses from a high spatial resolution satellite imagery using Canny edge detection filter

2019 ◽  
Vol 7 (3) ◽  
pp. 268 ◽  
Author(s):  
Naledzani Mudau ◽  
Paidamoyo Mhangara
Keyword(s):  
Edge Detection ◽  
Spatial Resolution ◽  
Satellite Imagery ◽  
High Spatial Resolution ◽  
Low Cost ◽  
Canny Edge Detection ◽  
Canny Edge ◽  
Detection Filter

scholarly journals A Threshold with Hysteresis

2011 ◽  
Author(s):  
Sergio Vera ◽  
Frederic Perez ◽  
Laura Lara ◽  
Miguel Gonzalez
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Canny Edge Detection ◽  
Generic Filter ◽  
Canny Edge ◽  
Hysteresis Thresholding ◽  
Detection Filter

Thresholding is perhaps one of the most basic techniques in image processing. The Insight Toolkit (ITK) includes several threshold filters ranging from simple ones to Otsu based thresholding. Deep into the implementation of the Canny edge detection filter, ITK includes an implementation of hysteresis thresholding, but unfortunately this method can not be used as a generic filter. This paper presents an implementation of the hysteresis thresholding filter that can be used as a standalone ITK filter.

scholarly journals Extraction of Yardang Characteristics Using Object-Based Image Analysis and Canny Edge Detection Methods

2020 ◽  
Vol 12 (4) ◽  
pp. 726 ◽  
Author(s):  
Weitao Yuan ◽  
Wangle Zhang ◽  
Zhongping Lai ◽  
Jingxiong Zhang
Keyword(s):  
Image Analysis ◽  
Edge Detection ◽  
Spatial Resolution ◽  
Google Earth ◽  
Kappa Coefficient ◽  
Detection Methods ◽  
Canny Edge Detection ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Canny Edge

Parameters of geomorphological characteristics are critical for research on yardangs. However, methods which are low-cost, accurate, and automatic or semi-automatic for extracting these parameters are limited. We present here semi-automatic techniques for this purpose. They are object-based image analysis (OBIA) and Canny edge detection (CED), using free, very high spatial resolution images from Google Earth. We chose yardang fields in Dunhuang of west China to test the methods. Our results showed that the extractions registered an overall accuracy of 92.26% with a Kappa coefficient of agreement of 0.82 at a segmentation scale of 52 using the OBIA method, and the exaction of yardangs had the highest accuracy at medium segmentation scales (138, 145). Using CED, we resampled the experimental image subset to a series of lower spatial resolutions for eliminating noise. The total length of yardang boundaries showed a logarithmically decreasing (R2 = 0.904) trend with decreasing spatial resolution, and there was also a linear relationship between yardang median widths and spatial resolutions (R2 = 0.95). Despite the difficulty of identifying shadows, the CED method achieved an overall accuracy of 89.23% with a kappa coefficient of agreement of 0.72, similar to that of the OBIA method at medium segmentation scale (138).

Improved Canny edge detection method based on self-adaptive threshold

2013 ◽  
Vol 32 (8) ◽  
pp. 2296-2298 ◽  
Author(s):  
Fan ZHANG ◽  
Zhong-wei PENG ◽  
Shui-jin MENG
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Adaptive Threshold ◽  
Canny Edge Detection ◽  
Canny Edge ◽  
Edge Detection Method ◽  
Self Adaptive
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