直喷汽油机喷雾图像特征提取方法

为解决可视化燃油喷射图像采集系统的喷雾图像对比度低、 边界雾化不清晰的问题, 提出了一种基于均 衡化直方图自适应求取阈值的二值化和图像特征检测算法。 该算法根据对比度增强后的喷雾图像的直方图性 质, 自适应求取二值化阈值, 通过自动检测喷嘴位置、 喷雾图像最外侧切线以及喷雾最远点位置, 确定喷雾贯 穿距离和喷雾椎角, 然后通过计算得到喷雾图像这两个特征参数, 并对喷油全过程采集的 25 幅图像进行处理。 实验结果表明, 该方法能较清晰准确地提取喷雾图像轮廓, 喷雾贯穿距离和喷雾锥角两个特征参数的变化趋势 和理论值具有良好的一致性。

Feature Extraction Method for Gasoline Direct Injection Spray Image

In order to solve the problem that the spray image acquired through visual fuel injection image acquisition system is low contrast and the boundary is not clear.A binarization algorithm of adaptive threshold value based on equalization histogram is presented.According to the histogram properties of the aerosol image enhanced by contrast enhancement, the algorithm can get the adaptive binarization threshold.According to the binarization result,the image contour is extracted,the nozzle position,spray image outermost tangent,and spray farthest point position can also be detected automatically while the two characteristic parameters of spray image the spray penetration and spray angle can be calculated.25 images collected in a whole process of fuel injection are processed.The experimental results show that the method can extract the contour of the spray image more clearly and accurately.The trend of change in the spray penetration and the spray angle is in accordance with the theoretical value.