Hardware Implementation of Instruction Level Parallel Architecture Incorporating Special Functional Units for Image Processing Algorithms

2006 ◽  
Vol 5 (3) ◽  
pp. 416-421
Author(s):  
M. Kannan ◽  
S.K. Srivatsa
Keyword(s):  
Image Processing ◽  
Hardware Implementation ◽  
Parallel Architecture ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Functional Units

Hardware Implementation of Image Processing Algorithms on FPGA

2020 ◽  
Author(s):  
Aditi Metkar ◽  
Mansi Maroo ◽  
Abhisha Sawant ◽  
Vanshika Singh ◽  
Sagar Mhatre
Keyword(s):  
Image Processing ◽  
Hardware Implementation ◽  
Image Processing Algorithms ◽  
Processing Algorithms

scholarly journals Remarks on Hardware Implementation of Image Processing Algorithms

2008 ◽  
Vol 18 (1) ◽  
pp. 105-110 ◽  
Author(s):  
Marek Wnuk
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Hardware Implementation ◽  
Programmable Logic ◽  
Vision Systems ◽  
Industrial Environment ◽  
Pipelined Architecture ◽  
Early Image ◽  
Image Processing Algorithms ◽  
Processing Algorithms

Remarks on Hardware Implementation of Image Processing AlgorithmsImage processing in industrial vision systems requires both real-time speed and robustness. Modern computers, which fulfill the first demand, are sensitive to hard industrial environment conditions and require considerable amounts of energy. Programmable logic chips are available, which can realize many simple, still time-consuming operations in a parallel or a pipelined manner. The paper discusses particular features of the pipelined architecture and presents selected techniques of implementing early image processing procedures in hardware.

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.

Elastic Graph-based Semi-supervised Embedding with Adaptive Loss Regression

2020 ◽  
Keyword(s):  
Image Processing ◽  
International Symposium ◽  
Fast Track ◽  
Electronic Imaging ◽  
Image Processing Algorithms ◽  
Processing Algorithms

Fast track article for IS&T International Symposium on Electronic Imaging 2020: Image Processing: Algorithms and Systems proceedings.

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