An adaptive defect detection method for LNG storage tank insulation layer based on visual saliency

2021 ◽  
Author(s):  
Huizhou Liu ◽  
Jinqiu Hu
Keyword(s):  
Defect Detection ◽  
Storage Tank ◽  
Detection Method ◽  
Visual Saliency ◽  
Insulation Layer

scholarly journals PCB Electronic Component Defect Detection Method based on Improved YOLOv4 Algorithm

2021 ◽  
Vol 1827 (1) ◽  
pp. 012167
Author(s):  
Haojia Xin ◽  
Zibo Chen ◽  
Boyuan Wang
Keyword(s):  
Defect Detection ◽  
Detection Method ◽  
Electronic Component

scholarly journals A Defect Detection Method Based on Faster RCNN for Power Equipment

2021 ◽  
Vol 1754 (1) ◽  
pp. 012025
Author(s):  
Yang Cheng ◽  
Lingzhi Xia ◽  
Bo Yan ◽  
Jiang Chen ◽  
Dongsheng Hu ◽  
...  
Keyword(s):  
Defect Detection ◽  
Detection Method ◽  
Power Equipment

Defect detection method for rail surface based on line-structured light

Measurement ◽  
2020 ◽  
Vol 159 ◽  
pp. 107771 ◽  
Author(s):  
Xiaohui Cao ◽  
Wen Xie ◽  
Siddiqui Muneeb Ahmed ◽  
Cun Rong Li
Keyword(s):  
Defect Detection ◽  
Detection Method ◽  
Structured Light ◽  
On Line

A Simple Guidance Template-Based Defect Detection Method for Strip Steel Surfaces

2019 ◽  
Vol 15 (5) ◽  
pp. 2798-2809 ◽  
Author(s):  
Heying Wang ◽  
Jiawei Zhang ◽  
Ying Tian ◽  
Haiyong Chen ◽  
Hexu Sun ◽  
...  
Keyword(s):  
Defect Detection ◽  
Detection Method ◽  
Strip Steel ◽  
Steel Surfaces

scholarly journals Ship Detection in Panchromatic Optical Remote Sensing Images Based on Visual Saliency and Multi-Dimensional Feature Description

2020 ◽  
Vol 12 (1) ◽  
pp. 152 ◽  
Author(s):  
Ting Nie ◽  
Xiyu Han ◽  
Bin He ◽  
Xiansheng Li ◽  
Hongxing Liu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Fourier Transform ◽  
Detection Method ◽  
Saliency Detection ◽  
Visual Saliency ◽  
Saliency Map ◽  
False Alarms ◽  
Optical Remote Sensing ◽  
Remote Sensing Images ◽  
Ship Detection

Ship detection in panchromatic optical remote sensing images is faced with two major challenges, locating candidate regions from complex backgrounds quickly and describing ships effectively to reduce false alarms. Here, a practical method was proposed to solve these issues. Firstly, we constructed a novel visual saliency detection method based on a hyper-complex Fourier transform of a quaternion to locate regions of interest (ROIs), which can improve the accuracy of the subsequent discrimination process for panchromatic images, compared with the phase spectrum quaternary Fourier transform (PQFT) method. In addition, the Gaussian filtering of different scales was performed on the transformed result to synthesize the best saliency map. An adaptive method based on GrabCut was then used for binary segmentation to extract candidate positions. With respect to the discrimination stage, a rotation-invariant modified local binary pattern (LBP) description was achieved by combining shape, texture, and moment invariant features to describe the ship targets more powerfully. Finally, the false alarms were eliminated through SVM training. The experimental results on panchromatic optical remote sensing images demonstrated that the presented saliency model under various indicators is superior, and the proposed ship detection method is accurate and fast with high robustness, based on detailed comparisons to existing efforts.

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