In different methods of Biometrics, recognition by iris images in recent years has been taken into consideration by researchers as one of the common methods of identification like passwords, credit cards or keys. Iris recognition a new biometric technology has great advantages such as variability, stability and security. In this paper we propose a new feature extraction method for iris recognit...

Iris recognition a new biometric technology has great advantages such as variability, stability and security. In this paper we propose a feature extraction method for iris recognition based on contourlet transform. Contourlet transform captures the intrinsic geometrical structures of iris image. It decomposes the iris image into a set of directional subbands with texture details captured in dif...

In this paper the image fusion algorithm based on Contourlet transform and Pulse Coupled Neural Network (PCNN) was proposed to improve the performance of the image fusion in the detection accuracy of obstacles in forests. At the same time, the wavelet transform and the Principal Component Analysis (PCA) were simulated for comparison with the proposed algorithm. Then visible and infrared thermal...

In order to distinguish the sharpening operation in a manipulated image, a sharpen forgeries detection algorithm is proposed. Combined with efficient image signal processing method, a new non-subsampled dyadic contourlet transform based on contrast à trous wavelet is designed. In contourlet domain, sharpening characteristics are analyzed by multi-scale and multi-directional methods. A classifie...

Reducing the acquisition time is important for clinical magnetic resonance imaging (MRI). Compressed sensing has recently emerged as a theoretical foundation for the reconstruction of magnetic resonance (MR) images from undersampled k-space measurements, assuming those images are sparse in a certain transform domain. However, most real-world signals are compressible rather than exactly sparse. ...

The aim of this paper is improving the iris segmentation with the Contourlet transform. At first iris segmentation performed by canny edge detector and Hough Transform. By this approach some images don’t segmented properly, so we want to find a way to correct the image segmentation failures. Before applying edge detector, Contourlet transform applied for image denoising. By this approach, %100 ...

A change detection approach for SAR images based on contourlet image fusion and fuzzy clustering .In this method difference image is generated from log ratio and mean ratio images by image fusion technique. In order to restrain the background information and enhance the information of changed regions in the fused difference image, wavelet fusion rules and contourlet fusion rules based on an ave...

In this paper Contourlet based statistical modeling is used for Fabric Defect Detection. The Contourlet transform is a recently proposed two dimensional method used for image analysis. It is very efficient for representing images with fine geometrical structure. In the proposed method for defect detection Contourlet based feature extraction is used. Contourlet Transform is capable of capturing ...

One of the key differences between one-dimensional (1-D) and N -D (N ≥ 2) signals is the geometrical information, an important and unique feature of multidimensional signals. The goal of this research is to develop a new set of theories and techniques in signal processing that can make better use of the intrinsic geometrical information in multidimensional data in a robust and efficient way. Th...