Citation

Tan, Wooi Nee and Sem, Racheal and Tan, Yi Fei (2014) Blooming flower recognition by using eigenvalues of shape features. Sixth International Conference on Digital Image Processing (ICDIP 2014), 9159.

Text Blooming flower recognition by using eigenvalues of shape features.pdf Restricted to Repository staff only Download (512kB)

Abstract

This paper introduces the concept of eigenvalues in describing the shape features of blooming flowers, and implements the idea in recognizing the blooming flowers automatically. The input images of blooming flowers are taken from natural scene in the form of RGB images. The proposed method first segments and crops the targeted flower object, then calculates four shape features to form a 2 × 2 matrix. Eigenvalues of the matrix computed from the testing set are then used to compare with those eigenvalues of the reference set. The advantage of utilizing the idea of eigenvalues is that the dimension of parameters used in comparison can be reduced. Based on the experimental result on database which consists of 5 types of flowers with a total of 46 images, a recognition rate of 80.43% is achieved.

Item Type:	Article
Additional Information:	From Conference Volume 9159 Sixth International Conference on Digital Image Processing (ICDIP 2014) Charles M. Falco; Chin-Chen Chang; Xudong Jiang Athens, Greece | April 05, 2014
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	18 Jun 2014 06:13
Last Modified:	27 Aug 2014 01:37
URII:	http://shdl.mmu.edu.my/id/eprint/5592

Downloads

Edit (login required)