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Rebar binding point location method based on improved YOLOv5 and thinning algorithm

MEASUREMENT 2025年 242卷

作者： Xu, Kejia Lu, Xinyun Shen, Tao Zhu, Xingfan Wang, Shuo Wang, Xu Wang, Junchi Hohai Univ Sch Mech & Elect Engn Changzhou Jiangsu Peoples R China Hohai Univ Sch Comp & Software Changzhou Jiangsu Peoples R China

In order to solve the problem that the location of rebar binding points is unstable and easy to be affected by environmental noise, this paper proposes a rebar binding point location method based on object depth classification and thinning algorithm. Firstly, YOLOv5 is used to locate the target frame of the rebar binding point, and the Biformer module suitable for small target detection is added to YOLOv5. Secondly, the continuous depth data in the target frame is classified by the depth-first algorithm, and the top level rebar is classified and stored as a binary image, and the Zhang-Suen thinning algorithm is used to obtain the reinforced skeleton. Finally, the skeleton intersection point recognition algorithm is used to obtain the position of the rebar binding point. From the training results, 95 % of the target frames for rebar binding points were recognized. Experiments show that the method can accurately obtain the location of the binding points of the rebar, and can accurately classify the noise, non-target binding points and target binding points, and has high stability for the location of binding points, which is better than YOLOv8-POSE.

关键词： Rebar binding point localization YOLOv5 thinning algorithm Biformer Vision Transformer

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Method for detecting 2D grapevine winter pruning location based on thinning algorithm and Lightweight Convolutional Neural Network

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International Journal of Agricultural and Biological Engineering 2022年第3期15卷 177-183页

作者： Qinghua Yang Yuhao Yuan Yiqin Chen Yi Xun Key Laboratory of E&M(Zhejiang University of Technology) Ministry of Education&Zhejiang ProvinceHangzhou 310023China

In viticulture,there is an increasing demand for automatic winter grapevine pruning devices,for which detection of pruning location in vineyard images is a necessary task,susceptible to being automated through the use of computer vision *** this study,a novel 2D grapevine winter pruning location detection method was proposed for automatic winter pruning with a Y-shaped cultivation *** method can be divided into the following four ***,the vineyard image was segmented by the threshold two times Red minus Green minus Blue(2R−G−B)channel and S channel;Second,extract the grapevine skeleton by Improved Enhanced Parallel thinning algorithm(IEPTA);Third,find the structure of each grapevine by judging the angle and distance relationship between branches;Fourth,obtain the bounding boxes from these grapevines,then pre-trained MobileNetV3_small×0.75 was utilized to classify each bounding box and finally find the pruning *** to the detection experiment result,the method of this study achieved a precision of 98.8%and a recall of 92.3%for bud detection,an accuracy of 83.4%for pruning location detection,and a total time of 0.423 ***,the results indicated that the proposed 2D pruning location detection method had decent robustness as well as high precision that could guide automatic devices to winter prune efficiently.

关键词： grapevine winter pruning Lightweight Convolutional Neural Network thinning algorithm detection method

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A thinning algorithm based approach to controlling structural complexity in topology optimization

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FINITE ELEMENTS IN ANALYSIS AND DESIGN 2022年 207卷

作者： He, Yunzhen Zhao, Zi-Long Cai, Kun Kirby, James Xiong, Yulin Xie, Yi Min RMIT Univ Ctr Innovat Struct & Mat Sch Engn Melbourne 3001 Australia Beihang Univ Inst Solid Mech Sch Aeronaut Sci & Engn Beijing 100191 Peoples R China

Shape and topology optimization techniques aim to maximize structural performance through material redis-tribution. Effectively controlling structural complexity during the form-finding process remains a challenging issue. Structural complexity is usually characterized by the number of connected components (e.g., beams and bars), tunnels, and cavities in the structure. Existing structural complexity control approaches often prescribe the number of existing cavities. However, for three-dimensional problems, it is highly desirable to control the number of tunnels during the optimization process. Inspired by the topology-preserving feature of a thinning algorithm, this paper presents a direct approach to controlling the topology of continuum structures under the framework of the bi-directional evolutionary structural optimization (BESO) method. The new approach can explicitly control the number of tunnels and cavities for both two-and three-dimensional problems. In addition to the structural topology, the minimum length scale of structural components can be easily controlled. Nu-merical results demonstrate that, for a given set of loading and boundary conditions, the proposed methodology may produce multiple high-performance designs with distinct topologies. The techniques developed from this study will be useful for practical applications in architecture and engineering, where the structural complexity usually needs to be controlled to balance the aesthetic, functional, economical, and other considerations.

关键词： Topology optimization Structural complexity control Diverse and competitive structural designs BESO thinning algorithm

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Parallel thinning and skeletonization algorithm based on cellular automaton

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MULTIMEDIA TOOLS AND APPLICATIONS 2020年第43-44期79卷 33215-33232页

作者： Zhang, Fan Chen, Xiaopan Zhang, Xinhong Henan Univ Sch Comp & Informat Engn Kaifeng 475004 Peoples R China Henan Univ Henan Key Lab Big Data Anal & Proc Kaifeng 475004 Peoples R China Henan Univ Sch Software Kaifeng 475004 Peoples R China

This paper proposes a parallel image thinning algorithm and a skeletonization algorithm based on cellular automaton (CA). Cellular automaton is a parallel computation model and a non-linear dynamical system. In this paper, each image pixel is identified as a cell of CA and the change of cell depends on the current state of itself and the state of its neighbors. In a binary image, this paper assumes that the objects (white pixel) are preys which are surrounded by many ants (every black pixels). The movement of ants is controlled by cellular automation. The ants gnaw preys until the preys (objects) become skeleton. The proposed parallel skeletonization algorithm can produce a traditional skeleton with a thin line located in the center of object, and the proposed thinning algorithm can produce a new kind of skeleton which is named as the ants-gnawing skeleton. The computation of ants-gnawing skeleton is faster than the traditional skeleton while it contains more the structural features of image. Benefiting from the properties of cellular automation, the proposed thinning algorithm does not change the basic geometry structure of image, and it is invariant for image rotation.

关键词： thinning algorithm Skeletonization algorithm Cellular automation Parallel computation

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A modified ZS thinning algorithm by a hybrid approach

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VISUAL COMPUTER 2018年第5期34卷 689-706页

作者： Ben Boudaoud, Lynda Solaiman, Basel Tari, Abdelkamel Univ Bejaia Fac Sci Exactes LIMED Lab Informat Med Bejaia 06000 Algeria IMT Atlantique Inst Image & Informat Proc Dept F-29238 Brest France

thinning is one of the most important techniques in the field of image processing. It is applied to erode the image of an object layer-by-layer until a skeleton is left. Several thinning algorithms allowing to get a skeleton of a binary image are already proposed in the literature. This paper investigates several well-known parallel thinning algorithms and proposes a modified version of the most widely used thinning algorithm, called the ZS algorithm. The proposed modified ZS (MZS) algorithm is implemented and compared against seven existing algorithms. Experimental results and performances evaluation, using different image databases, confirm the proposed MZS algorithm improvement over the seven examined algorithms both in terms of the obtained results quality and the computational speed. Moreover, for an efficient implementation (on Graphics Processing Units), a parallel model of the MZS algorithm is proposed (using the Compute Unified Device Architecture, CUDA, as a parallel programming model). Evaluation results have shown that the parallel version of the proposed algorithm is, on average, more than 21 times faster than the traditional CPU sequential version.

关键词： thinning algorithm Binary image thinning rate thinning speed Connectivity Noise sensitivity GPU

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A parallel thinning algorithm based on stroke continuity detection

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SIGNAL IMAGE AND VIDEO PROCESSING 2017年第5期11卷 873-879页

作者： Dong, Jianwei Chen, Yanmei Yang, Zhijing Ling, Bingo Wing-Kuen Guangdong Pharmaceut Univ Sch Basic Courses Guangzhou 510006 Guangdong Peoples R China Guangdong Polytech Normal Univ Sch Comp Sci Guangzhou 510665 Guangdong Peoples R China Guangdong Univ Technol Sch Informat Engn Guangzhou 510006 Guangdong Peoples R China

thinning algorithms often cause stroke distortions at the crosses or intersections of strokes, which lead to bad results in pattern recognition tasks. In order to overcome these drawbacks, this paper proposes a parallel thinning algorithm based on stroke continuity detection. In the algorithm, before it uses the conditions of parallel algorithms to delete a boundary point, it first detects whether the boundary point is a reserved point to keep stroke's continuity or not. Consequently, it can produce a skeleton with good symmetry, control the large deformation at the cross or intersection of strokes, and make a better skeleton more quickly. Moreover, it is practically immune to noise.

关键词： Skeleton thinning algorithm Stroke distortion Reserved point Stroke continuity detection

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OpenCV Based Implementation of Zhang-Suen thinning algorithm Using Java for Arabic Text Recognition 3rd

OpenCV Based Implementation of Zhang-Suen Thinning Algorithm...

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3rd International Conference on Information System Design and Intelligent Applications (INDIA)

作者： Saudagar, Abdul Khader Jilani Mohammed, Habeeb Vulla Al Imam Mohammad Ibn Saud Islamic Univ IMSIU Coll Comp & Informat Sci Airport Rd Riyadh 13318 Saudi Arabia

ISBN: (纸本)9788132227571;9788132227564

The aim of this research work is to implement Zhang-Suen thinning algorithm on openCV based java platform. The novelty lies in the comparative study of the obtained results using the proposed implementation with the existing implementations of Zhang-Suen thinning algorithm viz. using Matlab, C++ and compare the performance factor viz computation time with others. The experimental results achieved by openCV based java platform are faster when compared to Matlab and C++.

关键词： Arabic text recognition thinning algorithm Arabic text extraction

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Generation of skeletal structures for the pelvis area with the use of 3-dimensional binary thinning algorithm 17

Generation of skeletal structures for the pelvis area with t...

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17th International Conference Computational Problems of Electrical Engineering (CPEE)

作者： Krawczyk, Zuzanna Starzynski, Jacek Warsaw Univ Technol Koszykowa 75 PL-00662 Warsaw Poland

ISBN: (纸本)9781509028009

The article presents the use of 3-dimensional thinning algorithm in creation of skeletal structures describing the area of pelvis and its surrounding. The skeletal descriptors are created for the models of pelvis and femurs and further transformed from its voxel representation into the graph. The result of the skeletonization is compared with the Reeb graphs created for the same bone models. The usefulness of the skeletons for the morphing algorithm is discussed.

关键词： thinning algorithm skeletal structures bones models voxel model representation

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3D thinning algorithm Based on Topology Preservation and 3D Non-contact Measurement

3D Thinning Algorithm Based on Topology Preservation and 3D ...

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International Conference on Optoelectronics and Microelectronics (ICOM)

作者： Qiao, Mingchuan Hong, Hanyu Huang, Likun Ma, Erwei Wuhan Inst Technol Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

ISBN: (纸本)9781467374620

The thinning is a method for extracting skeletons by eroding a 3D object layer by layer. Geometry preservation and connectivity preservation are two major concerns of thinning algorithm. Most of existing thinning algorithms are based on deleting templates. The results of this kind of algorithm fail to preserve the connectivity of 3D objects under some challenging situations. In view of this fact, we propose a novel fully parallel thinning algorithm in this paper. The proposed method is able to preserve the topology structure of various objects. Furthermore, the performance improvement can be achieved by our proposed method without increasing the computational complexity. The results of thinning can provide much information of 3D characteristics for many applications. This information can accurately describe the current state of the target, so as to realize all-round non-contact measurement for the target.

关键词： thinning algorithm Deleting templates Topology preservation 3D non-contact measurement

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A New thinning algorithm for Binary Images 3

A New Thinning Algorithm for Binary Images

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INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT)

作者： Ben Boudaoud, Lynda Sider, Abderrahmane Tari, Abdelkamel Univ Bejaia LIMED Lab Bejaia Algeria

ISBN: (纸本)9781479982134

thinning plays a crucial role in image analysis and pattern recognition applications. It is one of the most frequently used pre-processing methods to analyze different types of images. thinning consists basically of reducing a thick digital object into a thin skeleton. There are several thinning algorithms for getting a skeleton of a binary image in the literature. The most popular, and well proved one is the ZS algorithm proposed by Zheng and Suen. In the present paper, we propose a new thinning algorithm which combines the directional approach used by ZS and the subfield approach in order to produce a new hybrid thinning algorithm which is more efficient, produces thinner results (skeleton thickness is equal to one) than the ZS algorithm and solves the ZS's loss of connectivity problem in 2x2 squares. Results of applying the proposed algorithm on a variety of binary images and comparison with ZS algorithm show better results in terms of thinning rate, thinning speed, visual quality and connectivity preservation.

关键词： thinning algorithm Binary images Skeleton Parallel thinning Iterative thinning thinning rate thinning speed

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