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A Workpiece Localization Method for Robotic De-Palletizing Based on Region Growing and PPHT

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TLDR
A two-step method is proposed to realize the localization of workpieces, which in this work are woven bags, and Progressive Probabilistic Hough Transform is used to locate each woven bag.
Abstract
Aiming at the problem that the robot de-palletizing task is difficult to accomplish under unstable ambient light, a two-step method is proposed to realize the localization of workpieces, which in this work are woven bags. To begin with, Region Growing method is used to extract the whole target region in the original image, and the relationship model between image intensity and the optimal Region Growing threshold is established. Then, Progressive Probabilistic Hough Transform(PPHT) is used to locate each woven bag. To improve the system performance, the optimal parameters of the PPHT function in different illumination intervals are determined. Finally, experiments are conducted to verify the effectiveness of the proposed method. Experiment results demonstrate this method is robust and feasible.

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Effective Fat Quantification Using Multiple Region Growing Scheme at High-Field MRI

TL;DR: A robust method called the multiple region-growing scheme that does not need to consider parameters related to accuracy is introduced that can be applied in high fields with an average accuracy of 91.9% higher than the existing method.
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A Novel Pallet Detection Method for Automated Guided Vehicles Based on Point Cloud Data

TL;DR: A novel pallet detection method for automated guided vehicles based on point cloud data is proposed, which consists of five modules including point cloud preprocessing, key point extraction, feature description, surface matching and point cloud registration, which demonstrates that the proposed method has faster registration speed while maintaining higher registration accuracy.
Proceedings ArticleDOI

Based on CCD Imaging Ball Outside the New Algorithm for Extracting Profile

TL;DR: An automatic surface defect of Steel Ball detection system based on the CCD image processing technology has been designed, and its results are reliable, and it overcomes disadvantages of conventional detecting methods such as high labor intensity and high misdetection rate.
Proceedings ArticleDOI

detection under noise effect of tags and complex arrangement of pile with Cycle-GAN and Mask-RCNN

TL;DR: A systematic image processing algorithm to remove unnecessary portion and emphasize the key features of recognition utilizing the consistent generative adversarial network (Cycle GAN) for removing main obstacles of recognition such as adhesive labels or tapes is developed.
Journal ArticleDOI

Logistics box recognition in robotic industrial de-palletising procedure with systematic RGB-D image processing supported by multiple deep learning methods

TL;DR: In this paper , a Mask R-CNN-based detection approach for box objects is proposed, which is supported by a cycle generative adversarial network (Cycle GAN).
References
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Automated Visual Inspection: A Survey

TL;DR: A number of applications and their inspection methodologies are discussed in detail: the inspection of printed circuit boards, photomasks, integrated circuit chips.
Proceedings ArticleDOI

Vision-based bin-picking: recognition and localization of multiple complex objects using simple visual cues

TL;DR: This work proposes an efficient solution where complex objects are sufficiently represented by simple features/cues; thus invariance to object complexity is established.
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In-line sorting of irregular potatoes by using automated computer-based machine vision system

TL;DR: Conurrently, the well-shaped potatoes were classified by size achieving a 100% accuracy indicating that the developed machine vision system has a great potential in automatic detection and sorting of misshapen products.
Journal ArticleDOI

Development of a real-time laser-based machine vision system to monitor and control welding processes

TL;DR: In this paper, a laser-based machine vision system is developed and implemented to monitor and control welding processes, which consists of three main modules: a laserbased vision sensor module, an image processing module, and a multi-axis motion control module.
Journal ArticleDOI

Intelligent picking of chaotically stored objects

TL;DR: A robot system for the intelligent picking of chaotically stored objects by the analysis of depth data is presented, and an approach that aims at storing the necessary object data in an off‐line generated data base was chosen.