A hardware approach for real-time fuzzy wavelet based textures segmentation

Labonnah F. Rahman, Md. Mamun Ibne Reaz, Hafizah Husain, Mohd Marufuzzaman, Yushaizad Yusof

Research output: Contribution to journalArticle

Abstract

Texture refers to the surface properties that can be easily described by its primitives (ton) and their spatial relationship. Texture analysis is a process to find the shape, segment or identify the region of interest on the object. In this research, researchers approach to implement unsupervised texture segmentation in hardware. First, the Discrete Wavelet Transform (DWT) is used to extract the input image and sample it into different frequency bands. After this process, the input image becomes smaller and compressed. This input image is then fed into fuzzy K-mean clustering algorithm. Fuzzy K-mean is a well-known and precise supervised clustering algorithm that divides the image into different segmentations and many computations are needed for the correct segmentation assignment. Hence, the total execution time for segmentation is improved using compressed image as input. From the simulation result, images with 2-5 types of textures were successfully detected around 0.025-0.033 sec. The proposed hardware approach for wavelet based texture segmentation is able to reduce the execution time to enhance the performance for 128×128 pixels which can be considered as fast segmentation solution.

Original languageEnglish
Pages (from-to)46-54
Number of pages9
JournalInternational Journal of Systems Signal Control and Engineering Application
Volume4
Issue number3
DOIs
Publication statusPublished - 2011

Fingerprint

Textures
Hardware
Clustering algorithms
Discrete wavelet transforms
Frequency bands
Surface properties
Pixels

Keywords

  • FPGA
  • Fuzzy
  • Malaysia
  • Texture
  • Texture segmentation
  • Wavelet

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering

Cite this

A hardware approach for real-time fuzzy wavelet based textures segmentation. / Rahman, Labonnah F.; Ibne Reaz, Md. Mamun; Husain, Hafizah; Marufuzzaman, Mohd; Yusof, Yushaizad.

In: International Journal of Systems Signal Control and Engineering Application, Vol. 4, No. 3, 2011, p. 46-54.

Research output: Contribution to journalArticle

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