Design and Performance Evaluation of Image Processing Algorithms on GPUs

2011 ◽  
Vol 22 (1) ◽  
pp. 91-104 ◽  
Author(s):  
In Kyu Park ◽  
Nitin Singhal ◽  
Man Hee Lee ◽  
Sungdae Cho ◽  
Chris Kim
Keyword(s):  
Image Processing ◽  
Performance Evaluation ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
And Performance

Performance evaluation of image processing algorithms in digital mammography

2008 ◽  
Author(s):  
Federica Zanca ◽  
Chantal Van Ongeval ◽  
Jurgen Jacobs ◽  
Herman Pauwels ◽  
Guy Marchal ◽  
...  
Keyword(s):  
Image Processing ◽  
Performance Evaluation ◽  
Digital Mammography ◽  
Image Processing Algorithms ◽  
Processing Algorithms

Performance Evaluation of Image Processing Algorithms in CADe

2005 ◽  
Vol 4 (2) ◽  
pp. 159-172 ◽  
Author(s):  
Michael A. Wirth
Keyword(s):  
Breast Cancer ◽  
Image Processing ◽  
Performance Evaluation ◽  
Cancer Screening ◽  
Ad Hoc ◽  
Evaluation Process ◽  
Computer Aided Detection ◽  
Computer Aided ◽  
Image Processing Algorithms ◽  
Processing Algorithms

One of the key limitations of existing image processing algorithms for computer-aided detection (CADe) is that they are often designed and evaluated in an ad hoc manner. This paper characterizes some of the issues and shortcomings in existing performance evaluation paradigms for image processing algorithms in breast cancer screening, particularly in the context of computer aided detection. We present the framework for establishing a performance evaluation process using standardized criteria. We conclude with some specific recommendations to improve the infrastructure for evaluation the performance of image processing algorithms.

Performance evaluation of image processing algorithms on the GPU

2008 ◽  
Vol 164 (1) ◽  
pp. 153-160 ◽  
Author(s):  
Daniel Castaño-Díez ◽  
Dominik Moser ◽  
Andreas Schoenegger ◽  
Sabine Pruggnaller ◽  
Achilleas S. Frangakis
Keyword(s):  
Image Processing ◽  
Performance Evaluation ◽  
Image Processing Algorithms ◽  
Processing Algorithms

scholarly journals Implementation and Performance Testing of Background Subtraction Algorithm on ESP32

2019 ◽  
Vol 6 (2) ◽  
pp. 9-15
Author(s):  
DIDIT ANDRI JATMIKO ◽  
Salita Ulitia Prini
Keyword(s):  
Image Processing ◽  
Low Power ◽  
Background Subtraction ◽  
Performance Testing ◽  
Low Complexity ◽  
Pixel Image ◽  
Basic Image ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
And Performance

This paper describes the background subtraction algorithm and its performance in low power processing units, this algorithm has low complexity and can be used to detect objects so that it has the potential to be applied to security cameras. This study has succeeded in applying basic image processing algorithms to detect and track objects, such as background subtraction in the ESP32 module. The ESP32 module equipped with Xtensa® 32-bit LX6 microprocessor running at 240MHz can process 10000 times background subtraction algorithms in ~ 2000ms using 80x60 pixel image input. Background Subtraction; Embedded; ESP32; Image Processing; Microcontroller; Object Detection;

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