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

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 spa...

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Autor principal: Zheng Liu
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Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/b6b104ba3c2640d49fcf4358c6169497
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spelling oai:doaj.org-article:b6b104ba3c2640d49fcf4358c61694972021-11-29T00:56:32ZOptimal Method of Vision Sensor Digital Image Edge Detection for Commercial Investment in Film Field1687-726810.1155/2021/5805071https://doaj.org/article/b6b104ba3c2640d49fcf4358c61694972021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5805071https://doaj.org/toc/1687-7268With 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.Zheng LiuHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
spellingShingle Technology (General)
T1-995
Zheng Liu
Optimal Method of Vision Sensor Digital Image Edge Detection for Commercial Investment in Film Field
description 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.
format article
author Zheng Liu
author_facet Zheng Liu
author_sort Zheng Liu
title Optimal Method of Vision Sensor Digital Image Edge Detection for Commercial Investment in Film Field
title_short Optimal Method of Vision Sensor Digital Image Edge Detection for Commercial Investment in Film Field
title_full Optimal Method of Vision Sensor Digital Image Edge Detection for Commercial Investment in Film Field
title_fullStr Optimal Method of Vision Sensor Digital Image Edge Detection for Commercial Investment in Film Field
title_full_unstemmed Optimal Method of Vision Sensor Digital Image Edge Detection for Commercial Investment in Film Field
title_sort optimal method of vision sensor digital image edge detection for commercial investment in film field
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/b6b104ba3c2640d49fcf4358c6169497
work_keys_str_mv AT zhengliu optimalmethodofvisionsensordigitalimageedgedetectionforcommercialinvestmentinfilmfield
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