Depth edge detection by image-based smoothing and morphological operations

Hasan, Syed Mohammad Abid; Ko, Kwang Hee

doi:10.1016/j.jcde.2016.02.002

Cited by 44 publications

(15 citation statements)

References 21 publications

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“…The median filter can retain a large amount of detailed information about the target feature, will not make the target edge appear to blur, and has a significant effect on random discrete noise suppression. 29 There are several popular typical image segmentation methods, 30,31 including threshold-based segmentation methods, edge-based segmentation methods, morphology-based segmentation methods, and region-based segmentation methods.…”

Section: Filtering and Denoising And Image Segmentationmentioning

confidence: 99%

A localization method of manipulator towards achieving more precision control

Gao,

Zhang,

Jiang

et al. 2023

Computational Intelligence

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The monocular vision system is a crucial branch of machine vision research widely used in multiple industries as a research hotspot in the field of vision. Although the monocular vision system is of simple structure and cost‐effectiveness, its positioning accuracy is insufficient in some industries. This article researched the robot arm positioning method via monocular vision. First, we built a vision system model and designed the style of a cooperative target for target positioning. Second, a target feature screening method based on conditions is composed for the existence of interference. Furthermore, combining the principle of pose estimation on the PNP (Perspective‐n‐Point) problem with the results of the visual system calibration to realize the positioning of the target. Finally, complete the construction of the experimental platform and design accuracy evaluation experiments and positioning experiments. The experimental results show that the location measurement error range of the system in this article is below 4 mm, and the measurement error of the rotation angle is below 2. The system can adapt to the requirements of general industrial use.

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Section: Filtering and Denoising And Image Segmentationmentioning

confidence: 99%

A localization method of manipulator towards achieving more precision control

Gao,

Zhang,

Jiang

et al. 2023

Computational Intelligence

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“…The shape of features in an image is typically the focus of morphological operation. It has been applied to eliminate defects in a variety of shapes with the purpose of smoothing the contours and preserving the object's size and shape [33]. Erosion and dilation are the two main operations.…”

Section: Morphological Operationmentioning

confidence: 99%

Identification and Classification of Defects in PE Gas Pipelines Based on VGG16

Wang

Lin

et al. 2022

Applied Sciences

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For the problem of classification and identification of defects in polyethylene (PE) gas pipelines, this paper firstly performs preliminary screening of the acquired images and acquisition efficiency of defective image acquisition was improved. Images of defective PE gas pipelines were pre-processed. Then, edge detection of the defective images was performed using the improved Sobel algorithm and an adaptive threshold segmentation method was applied to segment the defects in the pipeline images. Finally, the defect images were morphologically processed to obtain binary images. The obtained binary images were applied with VGG16 to complete the training of the defect classifier. The experimental findings show that in the TensorFlow API environment, the test set’s highest accuracy reached 97%, which can achieve the identification of defect types of underground PE gas transmission pipelines.

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“…In order to extract depth silhouettes, first, threshold-based segmentation [72] is used to obtain a binary image from the original image. These segmented images are closed morphologically using binary dilation followed by a binary erosion operation [73]. Thus, binary dilation works through adding pixels to human edges while erosion works by removing boundary pixels.…”

Section: Morphological Operationsmentioning

confidence: 99%

Modeling Two-Person Segmentation and Locomotion for Stereoscopic Action Identification: A Sustainable Video Surveillance System

et al. 2021

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Due to the constantly increasing demand for automatic tracking and recognition systems, there is a need for more proficient, intelligent and sustainable human activity tracking. The main purpose of this study is to develop an accurate and sustainable human action tracking system that is capable of error-free identification of human movements irrespective of the environment in which those actions are performed. Therefore, in this paper we propose a stereoscopic Human Action Recognition (HAR) system based on the fusion of RGB (red, green, blue) and depth sensors. These sensors give an extra depth of information which enables the three-dimensional (3D) tracking of each and every movement performed by humans. Human actions are tracked according to four features, namely, (1) geodesic distance; (2) 3D Cartesian-plane features; (3) joints Motion Capture (MOCAP) features and (4) way-points trajectory generation. In order to represent these features in an optimized form, Particle Swarm Optimization (PSO) is applied. After optimization, a neuro-fuzzy classifier is used for classification and recognition. Extensive experimentation is performed on three challenging datasets: A Nanyang Technological University (NTU) RGB+D dataset; a UoL (University of Lincoln) 3D social activity dataset and a Collective Activity Dataset (CAD). Evaluation experiments on the proposed system proved that a fusion of vision sensors along with our unique features is an efficient approach towards developing a robust HAR system, having achieved a mean accuracy of 93.5% with the NTU RGB+D dataset, 92.2% with the UoL dataset and 89.6% with the Collective Activity dataset. The developed system can play a significant role in many computer vision-based applications, such as intelligent homes, offices and hospitals, and surveillance systems.

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Depth edge detection by image-based smoothing and morphological operations

Cited by 44 publications

References 21 publications

A localization method of manipulator towards achieving more precision control

A localization method of manipulator towards achieving more precision control

Identification and Classification of Defects in PE Gas Pipelines Based on VGG16

Modeling Two-Person Segmentation and Locomotion for Stereoscopic Action Identification: A Sustainable Video Surveillance System

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