CMLA, ENS Cachan, CNRS, UniverSud, 61 Avenue du President Wilson, F-94230 Cachan, France.
IEEE Trans Pattern Anal Mach Intell. 2010 Apr;32(4):722-32. doi: 10.1109/TPAMI.2008.300.
We propose a linear-time line segment detector that gives accurate results, a controlled number of false detections, and requires no parameter tuning. This algorithm is tested and compared to state-of-the-art algorithms on a wide set of natural images.
我们提出了一种线性时间的线段检测器,它可以给出准确的结果,控制假阳性检测的数量,并且不需要参数调整。该算法在广泛的自然图像数据集上进行了测试和与最先进算法的比较。