The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 53-478
Full Name: Mamun Bin Ibne Reaz
Position: Associate Professor
Age: ON
Sex: Male
Address: Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor
Country: MALAYSIA
Tel:
Tel prefix:
Fax:
E-mail address: mamun.reaz@gmail.com
Other E-mails:
Title of the Paper: A Hardware Approach for Real-Time Fuzzy Wavelet Based Textures Segmentation
Authors as they appear in the Paper: M. B. I. REAZ, M. S. AMIN, H. HUSAIN, F. H. HASHIM
Email addresses of all the authors: mamun.reaz@gmail.com
Number of paper pages: 10
Abstract: Texture refers to the surface properties that can be easily describe by its primitives (tones) 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 paper, we approach to implement unsupervised texture segmentation in hardware. At 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 a lot of 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 two to five types of textures were successfully!
detected around 0.025-0.033 seconds.
Keywords: Fuzzy wavelet, Discrete wavelet transform, VHDL, FPGA, Image conversion, Image segmentation
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 175.141.184.239
