A vision-based weld seam detector is crucial for intelligent welding in ship stiffened panel as it influences the working efficiency of welding robots.This paper introduces an innovative Run Length Encoding(RLE)based ...A vision-based weld seam detector is crucial for intelligent welding in ship stiffened panel as it influences the working efficiency of welding robots.This paper introduces an innovative Run Length Encoding(RLE)based Line Segment Detector(RSD)that is capable of extracting line segments from point clouds.The RLE is firstly employed to compress point cloud data by encoding them into runs.Then,the directional fea-ture of significant line segments is determined according to the analysis of level line angles,facilitating a global line segment detection mechanism.This enables RSD to capture more complete line segments compared to region-based detection methods.Notably,this method obviates the need for manual param-eter adjustments and does not require any prior information.The effectiveness and superiority of RSD are confirmed by testing various workpieces in a laboratory setting and comparing its performance with other detectors.展开更多
A representation method using the non-symmetry and anti-packing model （NAM） for data compression of binary images is presented. The NAM representation algorithm is compared with the popular linear quadtree and run l...A representation method using the non-symmetry and anti-packing model （NAM） for data compression of binary images is presented. The NAM representation algorithm is compared with the popular linear quadtree and run length encoding algorithms. Theoretical and experimental results show that the algorithm has a higher compression ratio for both Iossy and Iossless cases of binary images and better reconstructed quality for the Iossy case.展开更多
基金the Oceanic Interdisciplinary Pro-gram of Shanghai Jiao Tong University(SL2022PT202).
文摘A vision-based weld seam detector is crucial for intelligent welding in ship stiffened panel as it influences the working efficiency of welding robots.This paper introduces an innovative Run Length Encoding(RLE)based Line Segment Detector(RSD)that is capable of extracting line segments from point clouds.The RLE is firstly employed to compress point cloud data by encoding them into runs.Then,the directional fea-ture of significant line segments is determined according to the analysis of level line angles,facilitating a global line segment detection mechanism.This enables RSD to capture more complete line segments compared to region-based detection methods.Notably,this method obviates the need for manual param-eter adjustments and does not require any prior information.The effectiveness and superiority of RSD are confirmed by testing various workpieces in a laboratory setting and comparing its performance with other detectors.
基金Supported by the National High-Tech Research and Development (863) Program of China (No. 2006AA04Z211)
文摘A representation method using the non-symmetry and anti-packing model （NAM） for data compression of binary images is presented. The NAM representation algorithm is compared with the popular linear quadtree and run length encoding algorithms. Theoretical and experimental results show that the algorithm has a higher compression ratio for both Iossy and Iossless cases of binary images and better reconstructed quality for the Iossy case.
