Target extraction using divergent-direction-emphasis symmetry transform

Dual multiwavelet frames with symmetry from two-direction renable functions

Fingerprint Feature Extraction Using Hough Transform and Minutiae Extraction

Fingerprint recognition is done with minutiae points and non-minutiae points but, here minutiae points are used for fingerprint recognition. A fingerprint is collection of many ridges and furrows (Valleys). The continuous dark pattern flow in fingerprint is called ridges and the light area between ridges is called furrows. Fingerprint has some unique points on the ridge which is known as minuti...

Feature Extraction Using the Hough Transform

This paper contains a brief literature survey of applications and improvements of the Hough transform, a description of the Hough transform and a few of its algorithms, and simulation examples of line and curve detection using the Hough transform.

Texture Feature Extraction using Slant-Hadamard Transform

Random and natural textures classification is still one of the biggest challenges in the field of image processing and pattern recognition. In this paper, texture feature extraction using Slant Hadamard Transform was studied and compared to other signal processing-based texture classification schemes. A parametric SHT was also introduced and employed for natural textures feature extraction. We ...

Road Extraction Using Stationary Wavelet Transform

In this paper, a novel road extraction method using Stationary Wavelet Transform is proposed. To detect road features from color aerial satellite imagery, Mexican hat Wavelet filters are used by applying the Stationary Wavelet Transform in a multiresolution, multi-scale, sense and forming the products of Wavelet coefficients at a different scales to locate and identify road features at a few sc...