The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 52-669
Full Name: Murugan Sujaritha
Position: Assistant Professor
Age: ON
Sex: Female
Address: J.J.C.E.T. , Tiruchirappalli
Country: INDIA
Tel: 9524969345
Tel prefix: 0431
Fax: 0431-2695605
E-mail address: msujaritha@yahoo.com
Other E-mails: sujaritha2009@gmail.com
Title of the Paper: Unsupervised Color Texture Segmentation Algorithm based on Reduced Biquaternions
Authors as they appear in the Paper: M.Sujaritha, S.Annadurai
Email addresses of all the authors: msujaritha@yahoo.com,anna_prof@yahoo.co.in
Number of paper pages: 12
Abstract: This paper presents a novel unsupervised color texture segmentation based on Discrete Reduced Biquaternion Fourier Transform (DRBFT) and Discrete Wavelet Transform (DWT). Reduced Biquaternions (RB), which are an extension of the complex numbers, are used to characterize the color information. Multi- Channel wavelet filtering is used to extract the texture information at various scales from the LUV color space. Each wavelet channel (subband) is represented by a commutative Reduced Biquaternion representation. These color and texture descriptors are merged in the frequency domain in order to reduce the time complexity of this convolution process. Amplitude features are computed from each color-texture channel. Every pixel in the image is described by a feature vector, formed by grouping the features of all the channels. Finally, SOM (Selforganizing Map) with adaptive learning rate is used to label the pixels. The major aim of this work is to identify the homogeneous !
regions in the natural image by combining the color and texture attributes in a multipart image descriptor. A comprehensive qualitative and quantitative performance evaluation has been carried out and the experimental results indicate that the proposed technique captures the color and texture characteristics perfectly when applied to complex natural images.
Keywords: Color, Commutative Reduced Biquaternions, Texture, Segmentation, Self –organizing Map,
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: Color Texture Segmentation, Image processing, Filtering Techniques, Wavelet, Preprocessing techniques, Object Recognition
IP ADDRESS: 122.174.64.246
