针对传统八邻域追踪算法在提取图像像素坐标的问题，对于规模较大、线状要素数量过多、线状要素空间关系复杂的裂缝图像，易产生大量计算冗余，加大时间消耗，本文将OpenCV轮廓定位融入八邻域追踪算法，提出了一种基于OpenCV的二值图像线状要素坐标识别方法。通过对裂缝图像实验测试，在保证提取图像效果基础上，降低了计算冗余和时间消耗，极大地提高了运行效率。 Aiming at the problem of traditional eight-neighborhood tracking algorithm in extracting image pixel coordinates, for crack images with large scale, too many linear elements and complex spatial relationship of linear elements, it is easy to produce a large amount of computational redundancy and increase time consumption. In this paper, OpenCV contour location is integrated into the eight-neighborhood tracking algorithm, and a coordinate recognition method of linear elements in binary images based on OpenCV is proposed. Through the experimental test of the crack image, on the basis of ensuring the effect of extracting the image, the computational redundancy and time consumption are reduced, and the running efficiency is greatly improved.
展开▼
机译：针对传统八邻域追踪算法在提取图像像素坐标的问题，对于规模较大、线状要素数量过多、线状要素空间关系复杂的裂缝图像，易产生大量计算冗余，加大时间消耗，本文将OpenCV轮廓定位融入八邻域追踪算法，提出了一种基于OpenCV的二值图像线状要素坐标识别方法。通过对裂缝图像实验测试，在保证提取图像效果基础上，降低了计算冗余和时间消耗，极大地提高了运行效率。 Aiming at the problem of traditional eight-neighborhood tracking algorithm in extracting image pixel coordinates, for crack images with large scale, too many linear elements and complex spatial relationship of linear elements, it is easy to produce a large amount of computational redundancy and increase time consumption. In this paper, OpenCV contour location is integrated into the eight-neighborhood tracking algorithm, and a coordinate recognition method of linear elements in binary images based on OpenCV is proposed. Through the experimental test of the crack image, on the basis of ensuring the effect of extracting the image, the computational redundancy and time consumption are reduced, and the running efficiency is greatly improved.
展开▼
