scholarly journals Enhanced MAC controller architecture for 2D processing based on FPGA with configurable resource allocation

2021 ◽  
Vol 10 (3) ◽  
pp. 212
Author(s):  
Chiranjeevi G. N. ◽  
Subhash Kulkarni
Keyword(s):  
Image Processing ◽  
Media Access Control ◽  
Media Access ◽  
Picture Processing ◽  
Control Block ◽  
Field Programmable ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Block Based ◽  
And Control

The bulks of image processing algorithms are either two-dimensional (2D) or confined by their very nature. As a result, the 2D convolution function has a large impact on picture processing requirements. The methodology of 2D convolution and media access control (MAC) design can also be used to perform a variety of image processing tasks, and even as picture blurring, softening, and feature extraction. The main goal of this research is to develop a more efficient MAC control block-based 2D convolution architecture. This 2D algorithm can be implemented in hardware using fewer modules, multipliers, adders, and control blocks, resulting in significant hardware savings and look up table (LUT) reductions. The simulations were run in Verilog, and the Xilinx Vertex family field programmable gate array (FPGA) was used to build and test them. The recommended 2D convolution architectural solution is significantly faster and consumes significantly less hardware resources than the traditional 2D convolution implementation. The proposed architecture will result in technology that saves a substantial amount of processing time when it comes to LUTs.

scholarly journals Effective Computer-Assisted Automatic Cervical Vertebrae Extraction with Rehabilitative Ultrasound Imaging by using K-means Clustering

2016 ◽  
Vol 6 (6) ◽  
pp. 2810
Author(s):  
Hae-Jung Lee ◽  
Doo Heon Song ◽  
Kwang Baek Kim
Keyword(s):  
Image Processing ◽  
Cervical Vertebrae ◽  
Computer Assisted ◽  
Test Cases ◽  
Musculoskeletal Condition ◽  
Economic Costs ◽  
Measuring Point ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
And Control

<p>Neck pain is one of most common musculoskeletal condition resulting in significant clinical, social and economic costs. Muscles around cervical spine including deep neck flexors play a key role to support and control its stability, thus monitoring such muscles near cervical vertebrae is important. In this paper, we propose a fully automated computer assisted method to detect cervical vertebrae with K-means pixel clustering from ultrasonography. The method also applies a series of image processing algorithms to remove unnecessary organs and noises in the process. The experiment verifies that our approach is consistent with human medical experts’ decision to locate key measuring point for muscle analysis and successful in detecting cervical vertebrae accurately – successful in 48 out of 50 test cases (96%).</p>

Effective Computer-Assisted Automatic Cervical Vertebrae Extraction with Rehabilitative Ultrasound Imaging by using K-means Clustering

2016 ◽  
Vol 6 (6) ◽  
pp. 2810
Author(s):  
Hae-Jung Lee ◽  
Doo Heon Song ◽  
Kwang Baek Kim
Keyword(s):  
Image Processing ◽  
Cervical Vertebrae ◽  
Computer Assisted ◽  
Test Cases ◽  
Musculoskeletal Condition ◽  
Economic Costs ◽  
Measuring Point ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
And Control

<p>Neck pain is one of most common musculoskeletal condition resulting in significant clinical, social and economic costs. Muscles around cervical spine including deep neck flexors play a key role to support and control its stability, thus monitoring such muscles near cervical vertebrae is important. In this paper, we propose a fully automated computer assisted method to detect cervical vertebrae with K-means pixel clustering from ultrasonography. The method also applies a series of image processing algorithms to remove unnecessary organs and noises in the process. The experiment verifies that our approach is consistent with human medical experts’ decision to locate key measuring point for muscle analysis and successful in detecting cervical vertebrae accurately – successful in 48 out of 50 test cases (96%).</p>

scholarly journals Automatically Tightening Tiny Screw Using Two Images and Positioning Control

Mathematics ◽  
2021 ◽  
Vol 9 (19) ◽  
pp. 2521
Author(s):  
Shou-Yu Chen ◽  
Jeng-Rong Ho ◽  
Pi-Cheng Tung ◽  
Chih-Kuang Lin
Keyword(s):  
Image Processing ◽  
Bilateral Filter ◽  
Charge Coupled Device ◽  
Positioning Control ◽  
Whole Process ◽  
Machine Interface ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
And Control ◽  
Fine Tune

This paper describes how to tighten M1.4 screws by controlling a manipulator. The whole process is based on a human–machine interface designed using Visual Studio C++ to run image processing algorithms and control the position of a manipulator. Two charge-coupled device cameras are used. One is fixed on the stationary frame above screw holes and used to take pictures of the holes. The positions of the holes are determined using image processing algorithms and then transformed into the coordinate system of the manipulator by using coordinate transformation. The other camera, installed on the end effect of the manipulator, photographs the screw hole to fine-tune the position of the manipulator, improving positioning control. The image processing methods including grayscale, Gaussian filter, bilateral filter, binarization, edge detection, center of gravity, and minimum circumcircle are used to find the center coordinates of the target holes. Experimental study shows that M1.4 screws can be tightened into the target holes with the manipulator.

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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