An Efficient Implementation of the Gradient-Based Hough Transform Using DSP Slices and Block RAMs on the FPGA

2014 ◽  
Author(s):  
Xin Zhou ◽  
Yasuaki Ito ◽  
Koji Nakano
Keyword(s):  
Hough Transform ◽  
Efficient Implementation ◽  
Gradient Based

Efficient Implementation of Fast Hough Transform Using CPCA Coprocessor

2021 ◽  
Vol 47 (5) ◽  
pp. 335-343
Author(s):  
F. A. Anikeev ◽  
G. O. Raiko ◽  
E. E. Limonova ◽  
M. A. Aliev ◽  
D. P. Nikolaev
Keyword(s):  
Hough Transform ◽  
Efficient Implementation

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.

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