Application of gradient-based Hough transform to the detection of corrosion pits in optical images

2016 ◽  
Vol 366 ◽  
pp. 9-18 ◽  
Author(s):  
Yafei Wang ◽  
Guangxu Cheng
Keyword(s):  
Hough Transform ◽  
Optical Images ◽  
Gradient Based ◽  
Corrosion Pits

Gradient-based Hough transform for the detection and characterization of defects during nondestructive inspection

1997 ◽  
Author(s):  
Lew F. L. Y. Voon ◽  
Patrice Bolland ◽  
Olivier Laligant ◽  
Patrick Gorria ◽  
B. Gremillet ◽  
...  
Keyword(s):  
Hough Transform ◽  
Nondestructive Inspection ◽  
Gradient Based

scholarly journals Gradient based progressive probabilistic Hough transform

2001 ◽  
Vol 148 (3) ◽  
pp. 158 ◽  
Author(s):  
C. Galambos ◽  
J. Kittler ◽  
J. Matas
Keyword(s):  
Hough Transform ◽  
Gradient Based

Automated Fiber Extraction From SEM Images With Application to Quality Control of Fiber-Reinforced Composites Manufacturing

2018 ◽  
Author(s):  
Md. Fashiar Rahman ◽  
Jianguo Wu ◽  
Bill Tseng
Keyword(s):  
Hough Transform ◽  
Decisive Role ◽  
Fiber Reinforced ◽  
Sem Images ◽  
Composites Manufacturing ◽  
Fiber Extraction ◽  
Morphology Analysis ◽  
Spatial Uniformity ◽  
Gradient Based ◽  
Opening Method

The morphology of fibers (e.g., spatial uniformity and orientation) plays a decisive role in determining the material properties or fabrication quality of fiber-reinforced nanocomposites. The existing literature lacks a reliable and automatic fiber extraction method for morphology analysis based on the scanning electron microscope (SEM) images. This paper proposes four different methods, namely, the simple Hough Transform, opening method, partitioning Hough Transform and gradient based Hough Transform, to automatically identify the fibers from SEM images to expedite the morphology analysis. The performance of these methods are thoroughly evaluated and compared through simulation studies and real case studies.

Gradient based system-level diagnosis

2007 ◽  
Vol 51 (1-2) ◽  
pp. 43
Author(s):  
Balázs Polgár ◽  
Endre Selényi
Keyword(s):  
System Level ◽  
Gradient Based

An Efficient Multiple Description Coding for Multi-View Video Based on the Correlation of Spatial Polyphase Transformed Subsequences

2019 ◽  
Vol 63 (5) ◽  
pp. 50401-1-50401-7 ◽  
Author(s):  
Jing Chen ◽  
Jie Liao ◽  
Huanqiang Zeng ◽  
Canhui Cai ◽  
Kai-Kuang Ma
Keyword(s):  
Video Transmission ◽  
Video Sequence ◽  
Three Dimensional ◽  
The Other ◽  
Multiple Description Coding ◽  
Multiple Description ◽  
Prediction Mode ◽  
Gradient Based ◽  
Directional Interpolation ◽  
Description Coding

Abstract For a robust three-dimensional video transmission through error prone channels, an efficient multiple description coding for multi-view video based on the correlation of spatial polyphase transformed subsequences (CSPT_MDC_MVC) is proposed in this article. The input multi-view video sequence is first separated into four subsequences by spatial polyphase transform and then grouped into two descriptions. With the correlation of macroblocks in corresponding subsequence positions, these subsequences should not be coded in completely the same way. In each description, one subsequence is directly coded by the Joint Multi-view Video Coding (JMVC) encoder and the other subsequence is classified into four sets. According to the classification, the indirectly coding subsequence selectively employed the prediction mode and the prediction vector of the counter directly coding subsequence, which reduces the bitrate consumption and the coding complexity of multiple description coding for multi-view video. On the decoder side, the gradient-based directional interpolation is employed to improve the side reconstructed quality. The effectiveness and robustness of the proposed algorithm is verified by experiments in the JMVC coding platform.

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