Efficient Inpainting of Old Film Scratch using Sobel Edge Operator based Isophote Computation

2006 ◽  
Author(s):  
Ki-hong Ko ◽  
Seong-whan Kim
Keyword(s):  
Edge Operator

Counting of Uneaten Floating Feed Pellets in Water Surface Images using ACF Detector and Sobel Edge Operator

2021 ◽  
Author(s):  
Maria Gemel B. Palconit ◽  
Ronnie S. Conception ◽  
Jonnel D. Alejandrino ◽  
Ivan Roy S. Evangelista ◽  
Edwin Sybingco ◽  
...  
Keyword(s):  
Water Surface ◽  
Edge Operator ◽  
Feed Pellets ◽  
Surface Images

scholarly journals Stereo Matching Algorithm Based on 2D Delaunay Triangulation

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Xue-he Zhang ◽  
Ge Li ◽  
Chang-le Li ◽  
He Zhang ◽  
Jie Zhao ◽  
...  
Keyword(s):  
Delaunay Triangulation ◽  
Stereo Matching ◽  
Robot Vision ◽  
Depth Estimation ◽  
Planning System ◽  
Disparity Map ◽  
Matching Method ◽  
Running Speed ◽  
Edge Operator ◽  
Edge Points

To fulfill the applications on robot vision, the commonly used stereo matching method for depth estimation is supposed to be efficient in terms of running speed and disparity accuracy. Based on this requirement, Delaunay-based stereo matching method is proposed to achieve the aforementioned standards in this paper. First, a Canny edge operator is used to detect the edge points of an image as supporting points. Those points are then processed using a Delaunay triangulation algorithm to divide the whole image into a series of linked triangular facets. A proposed module composed of these facets performs a rude estimation of image disparity. According to the triangular property of shared vertices, the estimated disparity is then refined to generate the disparity map. The method is tested on Middlebury stereo pairs. The running time of the proposed method is about 1 s and the matching accuracy is 93%. Experimental results show that the proposed method improves both running speed and disparity accuracy, which forms a steady foundation and good application prospect for a robot’s path planning system with stereo camera devices.

A Three-Dimensional Edge Operator

1981 ◽  
Vol PAMI-3 (3) ◽  
pp. 324-331 ◽  
Author(s):  
Steven W. Zucker ◽  
Robert A. Hummel
Keyword(s):  
Three Dimensional ◽  
Edge Operator

A modified moment-based edge operator for rectangular pixel image

1994 ◽  
Vol 4 (6) ◽  
pp. 552-554 ◽  
Author(s):  
Li-Min Luo ◽  
Xiao-Hua Xie ◽  
Xu-Dong Bao
Keyword(s):  
Edge Operator ◽  
Pixel Image

Improving BTC image compression using a fuzzy complement edge operator

2008 ◽  
Vol 88 (12) ◽  
pp. 2989-2997 ◽  
Author(s):  
T.M. Amarunnishad ◽  
V.K. Govindan ◽  
Abraham T. Mathew
Keyword(s):  
Image Compression ◽  
Edge Operator

scholarly journals Coal quality prediction based on multi-feature fusion of flotation foam images

2020 ◽  
Author(s):  
yateng bai ◽  
xiaoping ma
Keyword(s):  
Real Time ◽  
Feature Fusion ◽  
Image Features ◽  
Image Feature ◽  
Coal Preparation ◽  
Coal Quality ◽  
Coal Flotation ◽  
Edge Operator ◽  
Occurrence Matrix

Abstract Coal flotation monitoring cannot provide real-time feedback on the yield and ash of coal preparation products because it is influenced by the subjective nature of artificial judgment of coal preparation status and the lag of product quality testing of coal preparation. This paper aims to extract the texture, colour and shape features of floating foam images using various image processing methods, such as colour space, wavelet transform, greyscale co-occurrence matrix and edge operator, and to quantify the characterisation of various characteristic parameters on the basis of the indicative effect of floating foam characteristics on the quality of coal preparation products. The correlation between image features and the yield and ash of flotation products is studied, and a regression prediction model of coal preparation yield and ash was established by combining various image feature parameters using machine learning methods. Experimental results show that the proposed method can realise the real-time monitoring of coal mine flotation and effectively predict coal quality.

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