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BINARY GABOR PATTERN: AN EFFICIENT AND ROBUST DESCRIPTOR
FOR TEXTURE CLASSIFICATION
Lin Zhang, Zhejiang Zhou, and Honey Li*
School of Software Engineering, Tongji University, Shanghai, China
ABSTRACT
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What is binary gabor pattern an?
A binary Gabor pattern is a visual representation used in image processing that combines Gabor filters to create a pattern consisting of binary values, typically to analyze textures or bounded regions.
Who is required to file binary gabor pattern an?
Individuals or entities involved in specific research or applications that utilize binary Gabor patterns may be required to file relevant documentation, depending on institutional or regulatory requirements.
How to fill out binary gabor pattern an?
Filling out a binary Gabor pattern involves specifying the parameters for the Gabor filters, such as frequency, orientation, and spatial phase, and then encoding the resulting pattern into a binary format.
What is the purpose of binary gabor pattern an?
The purpose of using a binary Gabor pattern is to analyze and represent complex textures and features in images, allowing for improved image processing and machine learning applications.
What information must be reported on binary gabor pattern an?
The information typically reported includes the parameters used for the Gabor filters, the resultant binary pattern, and any relevant metadata regarding the sample or analysis context.
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