This paper describes a new approach for precise image shift detection between two images. The approach is based on an analysis of the phase difference spectrum between two images. Image shifts are directly evaluated from the phase difference spectrum without Fourier inversion. The cross s~ectrum is utilized as the weight parameter distribution. Synthetic and real images of typical image pattern...

The outer contours of living trees are often considered as a standard circle during non-destructive testing (NDT) internal defects using ground-penetrating radar (GPR). However, the detection classical cross-sections (circular) lacks consideration irregular contours, making it difficult to accurately locate image target. In this paper, we propose method based on affine transformation and Rieman...

Highly uniform and dense, hexagonal noble metal nanoparticle arrays were achieved on large-area transparent glass substrates via scalable, parallel processing of block copolymer lithography. Exploring their localized surface plasmon resonance (LSPR) characteristics revealed that the Ag nanoparticle array displayed a UV-vis absorbance spectrum sufficiently narrow and intense for biosensing appli...

MicroRNAs are widely studied as circulating biomarkers for early stage diagnosis of several diseases. Detection and quantification miRNAs is currently performed through complex time consuming procedures. Herein we demonstrate a rapid, multiplex, one-pot detection method based on two-step amplification the signal measured by Reflective Phantom Interface (RPI) label-free optical biosensor. We ach...

A robust character region identification approach is proposed here to deal with cover images using a differential top-hat transformation (DTT). The DTT is derived from morphological top-hat transformation (TT), and efficient for feature identification. This research is considered as a fundamental study for auto-classification of printed documents for organizing a Digital Library (DL) system. Th...

Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...

We prove the following theorem: If H is a slim hyperbola that contains a closed set S of lines in the Euclidean plane, there exists exactly one hyperbola Hmin of minimal volume that contains S and is contained in H. The precise concepts of “slim”, the “volume of a hyperbola” and “straight lines or hyperbolas being contained in a hyperbola” are defined in the text.

in many autonomous mobile applications, robots must be capable of analyzing motion of moving objects in their environment. duringmovement of robot the quality of images is affected by quakes of camera which cause high errors in image processing outputs. in thispaper, we propose a novel method to effectively overcome this problem using neural networks and kalman filtering theory. thistechnique u...

Face detection is an important first step to many advanced computer vision, biometrics recognition and multimedia applications, such as face tracking, face recognition, and video surveillance. In this paper, a faster face detection system is proposed with minimal features based on edges. Our proposed framework consists of three steps: initially the images are enhanced by applying median filter ...