Image Segmentation Using Discrete Wavelets Transform

Zobeda H. Naji; Weaam T. Ali; Warqaa Sh. Al Azawee

doi:10.24237/djes.2020.13301

Authors

Zobeda H. Naji
zhn0hussen@gmail.com
Department of Computer Engineering, College of Engineering, University of Diyala, Iraq
Weaam T. Ali Department of Computer Engineering, College of Engineering, University of Diyala, Iraq
Warqaa Sh. Al Azawee Department of Computer Engineering, College of Engineering, University of Diyala, Iraq

Keywords:

Color and gray image, DWT, Canny, R.G and Matlab

Abstract

Segmentation of Image plays an important role in image processing and application technology. Image segmentation has importantly contributed to many aspects of life like agriculture, medical image, and computer vision. Because of has the ability to decompose image that is making extract feature like object and edge of image easy. The algorithms of segmentation depend on two essential properties similarity and discontinuity. This paper proposed the segmentation of image based on discrete wavelet transform (DWT were used “Daubechies”) which its concerns with the exploitation of pixels in an image. In this paper, discrete wavelets are used with another type of technique like canny, R.G and thresholding to reduce the number of the segment and maintain the edge of an image, also in this paper presented description the interesting of discrete wavelets transform, canny& region growing.

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