scholarly journals The Impact of the Data Archiving File Format on Scientific Computing and Performance of Image Processing Algorithms in MATLAB Using Large HDF5 and XML Multimodal and Hyperspectral Data Sets

10.5772/19410 ◽  
2011 ◽  
Author(s):  
Kelly Bennett ◽  
James Robertso
Keyword(s):  
Image Processing ◽  
Scientific Computing ◽  
Hyperspectral Data ◽  
Data Sets ◽  
File Format ◽  
Data Archiving ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
And Performance ◽  
The Impact

The impact of image processing algorithms on digital radiography of patients with metalic hip implants

2019 ◽  
Vol 64 ◽  
pp. 238-244
Author(s):  
I.A. Tsalafoutas ◽  
K. Kasviki ◽  
A. Samartzis ◽  
K. Trimmis ◽  
M.G. Gkeli
Keyword(s):  
Image Processing ◽  
Digital Radiography ◽  
Hip Implants ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
The Impact

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

scholarly journals Analysis of the accuracy of building 3D coordinates of the underwater robot workspace

2020 ◽  
pp. 163-170
Author(s):  
B.A. Skorohod ◽  
◽  
P.V. Zhiyakov ◽  
A.V. Statsenko ◽  
S.I. Fateev ◽  
...  
Keyword(s):  
Experimental Data ◽  
Image Processing ◽  
Underwater Robot ◽  
Random Component ◽  
Underwater Environment ◽  
Camera Image ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Underwater Camera ◽  
The Impact

Distortion of underwater images can impair both the accuracy and robustness of 3D scene reconstruction algorithms. The problems that arise are related to the lack of robustness of these methods to changes in the underwater environment and features of transmitting and receiving signals under water, including, in particular, uneven illumination of the underwater environment, rapid attenuation, scattering and refraction of light when passing through an inhomogeneous medium of air-water-glass, limiting the frequency spectrum of passing light, which leads to the absorption of low-frequency components to a greater extent than light of higher frequencies. All this seriously complicates the ability to extract information about the scene as a whole and objects of interest located in the underwater environment, limits the use of standard image processing algorithms and requires their significant improvement. This article offers a new approach to analyzing the accuracy of constructing 3D coordinates of the working space of an underwater robot. The approach is based on underwater camera calibration, assessment of camera image centers taking into account the waterproof shell. We use statistical analysis that allows us to evaluate the impact of all sources of disturbances (both hardware and software) based only on experimental data. In particular, it shows how to get the error distribution using the measured values of the calibration sample and obtained by triangulation under underwater conditions. This makes it possible to simultaneously evaluate the systematic error and the distribution characteristics of the random component of the error in restoring 3D coordinates of the workspace. An important feature of the proposed approach is the ability to assess the impact of all sources of disturbances in the aggregate, including the design of a waterproof shell, based only on experimental data obtained in the underwater environment. In addition, the same approach can also provide estimates of the position of camera image centers, allowing for the presence of a waterproof shell to improve the accuracy of image processing algorithms. The proposed approach was tested on real data.

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;

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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