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

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.

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

Otoconia perfect/imperfect crystals

1994 ◽  
Vol 52 ◽  
pp. 42-43
Author(s):  
César D. Fermin ◽  
Dale Martin
Keyword(s):  
Image Processing ◽  
Room Temperature ◽  
Phosphotungstic Acid ◽  
Gallus Domesticus ◽  
Crystal Matrix ◽  
Organic Templates ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Diffraction Patterns

Otoconia of higher vertebrates are interesting biological crystals that display the diffraction patterns of perfect crystals (e.g., calcite for birds and mammal) when intact, but fail to produce a regular crystallographic pattern when fixed. Image processing of the fixed crystal matrix, which resembles the organic templates of teeth and bone, failed to clarify a paradox of biomineralization described by Mann. Recently, we suggested that inner ear otoconia crystals contain growth plates that run in different directions, and that the arrangement of the plates may contribute to the turning angles seen at the hexagonal faces of the crystals.Using image processing algorithms described earlier, and Fourier Transform function (2FFT) of BioScan Optimas®, we evaluated the patterns in the packing of the otoconia fibrils of newly hatched chicks (Gallus domesticus) inner ears. Animals were fixed in situ by perfusion of 1% phosphotungstic acid (PTA) at room temperature through the left ventricle, after intraperitoneal Nembutal (35mg/Kg) deep anesthesia. Negatives were made with a Hitachi H-7100 TEM at 50K-400K magnifications. The negatives were then placed on a light box, where images were filtered and transferred to a 35 mm camera as described.

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