Quantitative modelling of image processing algorithms for hardware implementation

Author(s):  
Tomasz Szydzik ◽  
Gustavo M. Callico ◽  
Antonio Nunez
2020 ◽  
Author(s):  
Aditi Metkar ◽  
Mansi Maroo ◽  
Abhisha Sawant ◽  
Vanshika Singh ◽  
Sagar Mhatre

Author(s):  
Marek Wnuk

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.


Author(s):  
César D. Fermin ◽  
Dale Martin

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.


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


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