RGB reconstruction-based method for identifying flame/smoke after forest image cutting

Abstract

The invention discloses an RGB reconstruction-based method for identifying flame / smoke after forest image cutting, relates to an RGB reconstruction-based technology for identifying flame / smoke after forest image cutting, and aims to solve the problems of low system adaptability and high misjudgment rate of an existing flame / smoke identification method. The method comprises the steps of destroying a background region to the maximum extent based on different values of three RGB components of a flame / smoke region and the background region, thereby continuously shrinking a target region; in the process of shrinking the target region, only considering regions with most remarkable features, namely, connected regions conforming to the features and having maximum areas, and deleting small regions possibly causing misjudgment; and after corrected grayscale formula processing of flame features is enhanced, performing filtering, cutting, corrosion and expansion, and judging whether the region is a suspected smoke or flame region according to a proportion of non negative elements. The method is applied to an occasion for identifying flame / smoke in forest fire prevention.

Description

Technical field [0001] The invention relates to a flame / smoke recognition technology based on RGB reconstruction of forest images after cutting. Background technique [0002] In recent years, with the rapid development of industry and society, it has brought great convenience to people and also brought great damage to the environment. The world’s forests are decreasing at a rate of 2,000 hectares per year, an area equivalent to 2,800 football fields, and the rate of decrease is gradually accelerating. The loss of forest area caused by forest fires is particularly huge. Forest fires are a serious natural disaster in many forestry countries, and both developed and developing countries lack effective means to control forest fires. my country is a country with relatively few forest resources. Forest fires have caused very serious losses to our Shaolin country. Effective prevention and reduction of forest fires are currently very urgent issues. An important part of forest fire prev...

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to solve the problem of low system applicability and high misjudgment rate caused by existing methods that are difficult to avoid misidentification caused by the sun under the background of forest fire prevention, and that existing methods cannot effectively distinguish combustion smoke from natural smoke. question

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