A two-dimensional edge detection scheme for general visual processing

2002 ◽  
Author(s):  
R.J. Qian ◽  
T.S. Huang
Keyword(s):  
Edge Detection ◽  
Visual Processing ◽  
Two Dimensional ◽  
Detection Scheme

Optimal edge detection in two-dimensional images

1996 ◽  
Vol 5 (7) ◽  
pp. 1215-1220 ◽  
Author(s):  
R.J. Qian ◽  
T.S. Huang
Keyword(s):  
Edge Detection ◽  
Two Dimensional ◽  
Two Dimensional Images

scholarly journals Indoor Slope and Edge Detection by Using Two-Dimensional EKF-SLAM with Orthogonal Assumption

10.5772/60407 ◽  
2015 ◽  
Vol 12 (4) ◽  
pp. 44 ◽  
Author(s):  
Jixin Lv ◽  
Yukinori Kobayashi ◽  
Takanori Emaru ◽  
Ankit A. Ravankar
Keyword(s):  
Edge Detection ◽  
Two Dimensional

Rectangular Paper Scraps Recovery Based on a New Edge Detection

2014 ◽  
Vol 551 ◽  
pp. 691-695
Author(s):  
Xin Cao
Keyword(s):  
Mathematical Modeling ◽  
Wavelet Analysis ◽  
Edge Detection ◽  
Cutting Conditions ◽  
Two Dimensional ◽  
Line Spacing ◽  
National University ◽  
Official Data ◽  
Recovery Problem

For the regular rectangular paper scraps recovery problem, at first, I used the edge detection based on the improved wavelet analysis to numerically describe the outline of words on each of the pieces. Secondly, screening according to the line spacing to find out paper scraps which are located in the edge. Thirdly, do initial matching to select the best line as a benchmark for two-dimensional double match splicing. At last, I used two-dimensional double match to make the whole stitching come out. In this paper, the data would use the 2013 China National University Mathematical Modeling Competition topic B official data. The model not only can solve the problem of this article, also can be used to solve the problem of similar cutting conditions.

Vernier Image Processing: Model and Experiments

Perception ◽  
1997 ◽  
Vol 26 (1_suppl) ◽  
pp. 110-110
Author(s):  
A V Chihman ◽  
V N Chihman ◽  
Y E Shelepin
Keyword(s):  
Fourier Analysis ◽  
Visual Processing ◽  
Fourier Spectrum ◽  
Field Size ◽  
Two Dimensional ◽  
Frequency Range ◽  
Additional Line ◽  
Point Spread ◽  
Model Predictions ◽  
Spread Function

Earlier we proposed a model for visual processing of the optical image of Vernier targets (1996 Perception25 Supplement, 115 – 116) based on Fourier analysis of the image. Our model comprises blurring of the thin Vernier bars by the optical point-spread function followed by calculation of the two-dimensional Fourier spectrum. In our model the processing area for Fourier analysis (the receptive field size) is 5 min arc. For a Vernier target, the contrast energy in the low-spatial-frequency range is different in different orientations, and magnification of the Vernier shift changes the orientation of the oblique Fourier components. To test the model, we carried out experiments in which the stimuli were Vernier lines with additional line distractors orthogonal to the orientation of the oblique Fourier components. Thresholds for detecting Vernier displacements were determined by a 2AFC paradigm and compared with model predictions. The results are consistent with our modelling of Vernier performance as a measurement of oblique components of the 2-D Fourier spectrum.

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