Optical architectures for pattern recognition with the generalized Hough transform

2020 ◽  
Author(s):  
Ariel Fernández
Keyword(s):  
Pattern Recognition ◽  
Hough Transform ◽  
Generalized Hough Transform

Real-time pattern recognition using an optical generalized Hough transform

2015 ◽  
Vol 54 (36) ◽  
pp. 10586 ◽  
Author(s):  
Ariel Fernández ◽  
Jorge L. Flores ◽  
Julia R. Alonso ◽  
José A. Ferrari
Keyword(s):  
Pattern Recognition ◽  
Real Time ◽  
Hough Transform ◽  
Time Pattern ◽  
Generalized Hough Transform

INVESTIGATION ON MULTISETS MIXTURE LEARNING BASED OBJECT DETECTION

2007 ◽  
Vol 21 (08) ◽  
pp. 1339-1351 ◽  
Author(s):  
ZHI-YONG LIU ◽  
HONG QIAO ◽  
LEI XU
Keyword(s):  
Object Detection ◽  
Hough Transform ◽  
Line Segment ◽  
Reconstruction Error ◽  
Mean Square ◽  
Noise Resistance ◽  
Generalized Hough Transform ◽  
The Mean ◽  
Sample Reconstruction

By minimizing the mean square reconstruction error, multisets mixture learning (MML) provides a general approach for object detection in image. To calculate each sample reconstruction error, as the object template is represented by a set of contour points, the MML needs to inefficiently enumerate the distances between the sample and all the contour points. In this paper, we develop the line segment approximation (LSA) algorithm to calculate the reconstruction error, which is shown theoretically and experimentally to be more efficient than the enumeration method. It is also experimentally illustrated that the MML based algorithm has a better noise resistance ability than the generalized Hough transform (GHT) based counterpart.

FPGA Implementation of the Generalized Hough Transform

2009 ◽  
Author(s):  
Sergio Rubén Geninatti ◽  
José Ignacio Benavides Benítez ◽  
Manuel Hernández Calviño ◽  
Nicolás Guil Mata ◽  
Juan Gómez Luna
Keyword(s):  
Hough Transform ◽  
Fpga Implementation ◽  
Generalized Hough Transform
Sign in / Sign up

Export Citation Format

Share Document