The paper deals with polynomial interpolation, least-square approximation and cubature of functions defined on the rectangular cylinder, K = D × [−1, 1], with D the unit disk. The nodes used for these processes are the Approximate Fekete Points (AFP) and the Discrete Leja Points (DLP) extracted from suitable Weakly Admissible Meshes (WAMs) of the cylinder. ¿From the analysis of the growth of th...

This paper presents a simple, but computationally efficient approach for fingerprint recognition. In this proposed approach fingerprint image is divided into windows of size 3  3 to extract the fuzzy features. The information at the center of the window is the product of information extracted using Local Binary Pattern (LBP) and fuzzy membership function. Maximization of mutual information bet...

This paper is addressing the combination of physiological and behavioral biometrics. In this we adopted multimodal approach on combining signature and fingerprint biometrics using feature level fusion with different normalization techniques to improve the performance of multimodal system. Texture features are extracted for fingerprint, pen pressure, azimuth, and altitude features are extracted ...

Methods In this work, thin blood smear sub images (n=87) of different Plasmodium species were acquired from the Parasite Image Library of the Centers for Disease Control and Prevention Database [http://www.dpd.cdc.gov/dpdx/HTML/ ImageLibrary/Malaria_il.htm]. The images were subjected to 2 d Empirical Mode Decomposition and four features namely the mean value of first Intrinsic Mode Function (IM...

Radiographic testing is a well-established non-destructive testing method to detect subsurface welding defects. In this paper, an automatic computer-aided identification system was implemented to recognize different types of welding defects in radiographic images. Imageprocessing techniques such as background subtraction and histogram thresholding were implemented to separate defects from the b...

A multiscale segmentation algorithm has been developed to identify storms at different scales through contiguityenhanced K-Means clustering of texture features. The identified storms are used as a template for tracking storms through time and for identifying storm properties. A variety of scalar features are computed from the gridded values falling within the geographic and temporal extent of t...

canal) in the extracted permanent maxillary first molars of a Sulaimani population. An ex vivo study on 180 extracted permanent maxillary first molars was conducted and the floor of the pulp was clearly exposed. The canal orifice was examined clinically by the aid of a chelating agent and magnifying lens. Patency of each canal was established by a no.10 k-type file. The results showed that 23.3...

Plant disease automatic detection is an important research topic as it has been proved useful in monitoring large crop fields, and thus automatically detects the leaf disease symptoms as soon as they appear in plant leaves. In this paper, a plant disease recognition method is proposed based on plant leaf images. First, the spot is segmented, and the disease feature vector is extracted. Then, th...

This paper describes the application of two direct and one indirect methods for the extraction of microbial community DNA from soils polluted with heavy metals. DNA was extracted directly from soil using a gentle method based on soil incubation at 37°C with proteinase K and SDS, or the method was modified by the addition of a bead beating step. The indirect approach was based on the RNA/DNA ext...

In this paper we present a novel container ISO-code recognition method which uses vertical edge information, a spatial structure window, and texture clustering. The vertical edge information is extracted using a top-hat transform. The candidate region and type of ISO-Code is obtained using a Spatial Structure Window (SSW) which wraps around the vertical edges. The ISO-Code is extracted using te...