Canny edge based image expansion

Author(s):  
Hongjian Shi ◽  
R. Ward
Symmetry ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 765 ◽  
Author(s):  
Chia-Chen Lin ◽  
Ching-Chun Chang ◽  
Zhi-Ming Wang

In this paper, we provide a novel reversible data hiding method using adaptive block truncation coding based on an edge-based quantization (ABTC-EQ) approach. We exploit the characteristic not being used in ABTC-EQ. To accomplish this, we first utilized a Canny edge detector to obtain an edge image and classify each block in a cover image into two versions, edge-block and non-edge-block. Subsequently, k-means clustering was used to obtain three quantization levels and derive the corresponding bit map while the current processing block was the case of an edge-block. Then Zero-Point Fixed Histogram Shifting (ZPF-HS) was applied to embed the secret information into compressed code. The experimental results show that our method provides a high embedding capacity for each test image and performance is better than other methods.


2011 ◽  
Vol 403-408 ◽  
pp. 1068-1074
Author(s):  
Waffa Choudhary

A novel method by combining the edge-based and stroke filter based text extraction in the videos is presented. Several researchers have used edge-based and filter based text extraction in the video frames. However, these individual techniques are having their own advantages and disadvantages to extract text in the video frames. Combination of these two techniques fetches good result as compared to individual techniques. In this paper, the canny edge-based and stroke filter for text extraction in the video frames are amalgamated. The effectiveness of the proposed method is evaluated over the individual edge-based and stroke filter based techniques and found that the proposed method significantly improves the text extraction rate in the videos in terms of precision (91.99%) and recall (87.18%) respectively


2018 ◽  
Vol 2 (1) ◽  
pp. 19 ◽  
Author(s):  
Moveh Samuel ◽  
Maziah Mohamad ◽  
Shaharil Mad Saad ◽  
Mohamed Hussein

Image processing is known as the process of converting an image into a digital form so as to obtain an enhanced image and to extract useful information from it. This paper presents a simple step by step analysis of edges-based lane detection. Some of the known and common edge detection techniques such as Sobel, Canny, Prewitt and Roberts were studied and evaluated using image segmentation, morphology, image statistic and Hough Transform. The result indicated some similarities in the process as well as major differences. These differences were observed to be as a result of the high sensitivity of the edge detector in detecting noise such as cast shadows and unmarked lanes. This could be noticed in the case of canny edge detector. Also these data could be considered in the development of a multi-system edge detector, which could be used to analyze various road scenes and runs the appropriate edge detector best suited for the current situation.


2018 ◽  
Vol 18 (12) ◽  
pp. 8240-8251 ◽  
Author(s):  
Tuerdimaimaiti Abudula ◽  
Usman Saeed ◽  
Numan Salah ◽  
Adnan Memic ◽  
Hamad Al-Turaif

The Canny Edge-Based Distance Transform and Hough Transform algorithms were successfully implemented to analyze the size distribution and the orientation of the electrospun PLA/PBS hybrid fiber. The effect of polymer concentration, voltage, feed rate and needle-collector distance were studied. It was found that feed rate of 0.5 ml/h and needle-collector distance of 12 cm is required to generate smooth and uniform hybrid fibers in the smallest size electrospinning with 6 wt.% polymer at voltage of 20 kV. The stationary flat collector with a swaying needle and fast rotating drum disc with a stationary needle were used for the fiber alignment. In order to improve the size distribution and the orientation of the hybrid fibers it is proposed that the fibers should be collected on the rotary drum disc at 700 rpm or higher speed.


2017 ◽  
Vol 62 (3) ◽  
pp. 966-985 ◽  
Author(s):  
Vasant Kearney ◽  
Yihui Huang ◽  
Weihua Mao ◽  
Baohong Yuan ◽  
Liping Tang

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