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Int'l Cone. Bioinformatics and Computational Biology BIOCOMP'10 159 Local phase quantization texture descriptors for protein classification Sheryl Brahnam1 Loris Nanni2 Jiangsu Shi3 Alessandra Lumini2
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How to fill out local phase quantization texture
How to fill out local phase quantization texture:
01
Start by selecting the image or signal that you want to analyze using local phase quantization. This could be a digital image or a time-varying signal.
02
Divide the image or signal into smaller regions or blocks. The size of these regions can vary depending on the application and the level of detail required.
03
For each region, apply a Fourier Transform to convert the image or signal from the spatial domain to the frequency domain. This will reveal the underlying frequency components present in each region.
04
Calculate the phase information for each frequency component within the region. This can be done by taking the arctangent of the ratio of the imaginary part to the real part of the Fourier coefficients.
05
Quantize the phase values to a discrete set of levels. This can be achieved by dividing the range of possible phase values into equally spaced intervals.
06
Repeat steps 4 and 5 for all the regions in the image or signal.
07
Finally, reconstruct the quantized phase information for the entire image or signal by combining the results from all the regions.
Who needs local phase quantization texture:
01
Image processing researchers and practitioners who are interested in analyzing and understanding the local phase characteristics of images or signals.
02
Computer vision scientists who utilize local phase quantization as a feature extraction technique for tasks such as image classification, object recognition, or texture analysis.
03
Pattern recognition experts who aim to exploit the unique pattern properties of phase information for various applications, including biometrics, medical imaging, and robotics.
04
Audio and speech processing professionals who want to extract the phase information of time-varying signals for tasks such as speaker identification, speech recognition, or sound localization.
05
Scientists and engineers in fields such as remote sensing, radar, and sonar, who need to analyze phase information to extract meaningful features from their data.
In summary, local phase quantization texture can be filled out by following the step-by-step process of dividing the image or signal into regions, applying Fourier Transform, calculating phase, quantizing the phase values, and reconstructing the information. This technique is useful for a wide range of professionals working in image processing, computer vision, pattern recognition, audio processing, and other related fields.
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What is local phase quantization texture?
Local phase quantization texture refers to a method used to encode the phase information of an image or texture at local scales.
Who is required to file local phase quantization texture?
There is no specific requirement for filing local phase quantization texture as it is a technical process used for image encoding purposes.
How to fill out local phase quantization texture?
Local phase quantization texture is not something that is filled out manually. It is a mathematical process applied to an image or texture.
What is the purpose of local phase quantization texture?
The purpose of local phase quantization texture is to encode the phase information of an image or texture in a way that is suitable for certain image processing tasks, such as feature detection or texture analysis.
What information must be reported on local phase quantization texture?
No specific information needs to be reported on local phase quantization texture as it is a technical method used for image processing.
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