CAJ | 학술논문

针对大空间中红外视频火灾图像边缘模糊,不易准确分割问题,研究了一种基于背景差分和C-V模型的分割方法.通过背景差分得到运动图像;利用形态学处理得到完整的运动区域,并获得其外接矩形;以外接矩形作为C-V模型的初始轮廓曲线进行分割,得到封闭、完整的运动目标轮廓.该算法避免了对整幅图像分割,减少了运算量.通过实验仿真并与阈值分割算法比较,证明了该算法的准确性和有效性,有利于下一步火灾特征提取与识别.
침대대공간중홍외시빈화재도상변연모호,불역준학분할문제,연구료일충기우배경차분화C-V모형적분할방법.통과배경차분득도운동도상;이용형태학처리득도완정적운동구역,병획득기외접구형;이외접구형작위C-V모형적초시륜곽곡선진행분할,득도봉폐、완정적운동목표륜곽.해산법피면료대정폭도상분할,감소료운산량.통과실험방진병여역치분할산법비교,증명료해산법적준학성화유효성,유리우하일보화재특정제취여식별.
The edge of infrared video fire images in large space is fuzzy, which takes difficulty to the image accurate segmenta-tion, a segmentation method based on background subtraction and C-V model is researched. It uses the background subtraction to get the motion image;it obtains the complete motion area through the morphological processing, and gets its circum-rectangle;initial curve evolution of C-V model is the circum-rectangle to do the segmentation, the closed and complete motion target con-tour is obtained. This method can avoid the whole image segmentation and reduce the amount of computation. Compared the simulation experiment with other threshold segmentation algorithms, the algorithm is proved to be accurate and effective, it is conducive to the next step of fire feature extraction and recognition.