Abstract
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.
Highlights
Based on the pursuit of the film industry, a large amount of capital has poured into the film industry
Everyone’s opinions on the clip were similar in terms of sound effects, special effects, editing, and pictures, and the evaluation of these aspects was not very good, and after processing this clip, the sound effects, special effects, and editing these three aspects have been highly praised by the audience, especially the editing part, with a score of 8.9
In addition to processing the image itself, in this process, how the real-time image combined with noise can eliminate false alarms caused by noise interference while ensuring the accuracy of the position has become an important issue that needs to be resolved in human ear detection
Summary
Based on the pursuit of the film industry, a large amount of capital has poured into the film industry. The competition between investment and investment groups in the production process of China’s film industry has directly promoted the development of China’s film industry and the further expansion of the scale of the industry [2]. Edge detection is a basic problem in early-stage vision theory and algorithms, and it is one of the important factors of the success or failure of mid- and later-stage vision processing [3, 4]. It has many applications in technology, military, medicine, and so on. The screen is composed of multiple dimensions, and feature
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