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A New Method of Flame Image Segmentation

机译:一种火焰图像分割的新方法

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摘要

Separating flame image from background is a precondition and necessary link for identification for recognition algorithm. In current application, the Otsu method is a simple, effective and threshold value selection method suitable for real time processing, but the limitation of this method is it depends too much on the image pattern of "double peak histogram". To overcome the weakness and shortcoming of Otsu method, this paper puts forward a new method based on grayscale integral projection, for flame image segmentation and positioning. Experiments have proved that this method not only can separate a flame image from background correctly, but also can position the center of a flame image quickly so as to provide the important criterion for dynamic recognition of flame image.
机译:从背景中分离火焰图像是用于识别识别算法的前提条件和必要的链路。在当前应用中,OTSU方法是一种简单,有效和阈值选择方法,适用于实时处理,但是这种方法的限制是在“双峰直方图”的图像模式上取决于太多。为了克服OTSU方法的弱点和缺点,本文提出了一种基于灰度整体投影的新方法,用于火焰图像分割和定位。实验证明,该方法不仅可以正确地将火焰图像分离,而且可以快速地定位火焰图像的中心,以便提供火焰图像的动态识别的重要标准。

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