A Hybrid Technique for Digital Image Edge Detection by Combining Second Order Derivative Techniques Log and Canny

2020 ◽  
Author(s):  
Pratima Dubey ◽  
Prashant Kumar Dubey ◽  
Soni Changlani
Keyword(s):  
Edge Detection ◽  
Digital Image ◽  
Second Order ◽  
Order Derivative ◽  
Hybrid Technique ◽  
Image Edge Detection ◽  
Image Edge

GSAED a new aproach for digital image edge detection

2012 ◽  
Author(s):  
Fatemeh Deregeh ◽  
Hossein Nezamabadi-pour
Keyword(s):  
Edge Detection ◽  
Digital Image ◽  
Image Edge Detection ◽  
Image Edge

scholarly journals Algorithmic Approaches For Image Edge Detection

2021 ◽  
Vol 10 (3) ◽  
pp. 1942-1948
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Edge Detection ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Image Edge Detection ◽  
Image Edge ◽  
Algorithmic Approaches

Edge detection is most important technique in digital image processing. It play an important role in image segmentation and many other applications. Edge detection providesfoundation to many medical and military applications.It difficult to generate a generic code for edge detection so many kinds ofalgorithms are available. In this article 4 different approaches Global image enhancement with addition (GIEA), Global image enhancement with Multiplication (GIEM),Without Global image enhancement with Addition (WOGIEA),and without Global image enhancement with Multiplication (WOGIEM)for edge detection is proposed. These algorithms are validatedon 9 different images. The results showthat GIEA give us more accurate results as compare to other techniques.

A Survey of Image Edge Detection Based on Grey Theory

2011 ◽  
Vol 301-303 ◽  
pp. 853-858 ◽  
Author(s):  
Hong Peng Tian
Keyword(s):  
Edge Detection ◽  
Digital Image ◽  
Basic Theory ◽  
Grey Theory ◽  
Future Developments ◽  
Image Edge Detection ◽  
Image Edge ◽  
At Home

Due to the feasibility and the efficiency in image engineering, Grey Theory proposed by Julong DENG has been paid more attention by many researchers at home and abroad. The feature of the theory lays in the fact that modeling or analysis is easy to implement even in the condition that only few samples are available. Many research fruits on digital image are produced so far. Focusing on edge detection of digital image, this paper gives a survey of the application and predicts some future developments after some basic theory are described.

scholarly journals Optimal Method of Vision Sensor Digital Image Edge Detection for Commercial Investment in Film Field

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Zheng Liu
Keyword(s):  
Edge Detection ◽  
Digital Image ◽  
Film Industry ◽  
Rapid Development ◽  
Visual Sensor ◽  
Optimal Method ◽  
Sound Effects ◽  
Image Edge Detection ◽  
Image Edge

With the rapid development of the national economy, the film industry has risen rapidly under these conditions, and the development of film occupies a more important position in this process, which has led to the development of investment in the film field, an internationally recognized cultural space. This paper studies the commercial investment in the film field based on the edge detection of the digital image of the visual sensor. The purpose of the research is to point out the direction of commercial investment in the film industry by studying the effect of the edge detection of the digital image of the visual sensor on the application of the film object. The image edge detection algorithm based on wavelet transform and morphology and the application of these image edge detection algorithms such as wavelet theory analyze the shortcomings of movie, sound effects, and pictures and make a comparison before and after the improvement. Audiences, as the direct enjoyers of the cultural product of the film, their opinions, and evaluations of the film, largely determine the quality of the work. On the contrary, a good work can attract the public’s attention and bring a large impact. The data acquisition in this process is mainly based on the questionnaire survey of the audience. The experimental results show that before applying digital image edge detection to transform the clip, 7 people thought that the clip needed to be further improved to improve the quality of the film itself, and only 1 person affirmed the film; after the modification, 9 people proposed the film praise; in addition, 15 people audience watched the film processed by the edge detection method and gave high evaluations to the three aspects of sound effects, special effects, and editing, especially the editing part, with a score of 8.9.

scholarly journals Digital Image Edge Detection using Enhanced Ant Colony Optimization Technique

2013 ◽  
Vol 67 (16) ◽  
pp. 21-24 ◽  
Author(s):  
Jeetu Singh ◽  
Ankit Vidyarthi
Keyword(s):  
Edge Detection ◽  
Ant Colony Optimization ◽  
Digital Image ◽  
Optimization Technique ◽  
Ant Colony ◽  
Image Edge Detection ◽  
Image Edge
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