Image Segmentation Using Discrete Wavelets Transform


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.