Flame/smoke recognition method after cutting forest image based on rgb reconstruction

Abstract

The invention relates to a fire / smoke recognition method after forest image cutting based on RGB reconstruction, and the invention relates to a flame / smoke recognition technology after forest image cutting based on RGB reconstruction. The purpose of the present invention is to solve the problems of low system applicability and high misjudgment rate of the existing flame / smoke identification method. The method is as follows: the present invention destroys the background area to the greatest extent based on the difference of RGB three-component values ​​between the flame and smoke area and the background area, so as to continuously shrink the target area. In the process of narrowing the target area, only the area with the most obvious features is considered, that is, those connected areas with the largest area that conforms to the feature, and the small areas that may cause misjudgment are deleted. After being processed by the modified gray scale formula that strengthens the characteristics of the flame, and then filtered, cut, corroded and expanded, it is judged whether it is smoke or flame suspected area according to the proportion of non-negative elements. The invention is applied to the occasion of identifying flame / smoke in forest fire prevention.

Description

technical field [0001] The invention relates to flame / smoke recognition technology after forest image cutting based on RGB reconstruction. Background technique [0002] In recent years, with the rapid development of industry and society, it has brought great convenience to people, but 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 reduction is gradually accelerating. The loss of forest area due to forest fires is particularly huge. Forest fire is a serious natural disaster in many forestry countries, and both developed and developing countries lack effective control methods for forest fire. my country is a country with relatively few forest resources. Forest fires are a very serious loss to our Shaolin country. Effective prevention and reduction of forest fires is a very urgent problem at present. An important part of forest fire prevention ...

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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