One of the most recent techniques employed to estimate an optimal threshold of a gray level image for segmentation is ultrafuzzy measures. In this paper, we introduce relative fuzzy membership degree (RFMD) taking spatial correlation among the pixels in the image into account. We also propose a novel thresholding technique by combining two-dimensional histogram, which was determined by using th...

Ridges and ravines are the main components constituting a "ngerprint. Traditional automatic "ngerprint identi"cation systems (AFIS) are based on minutiaematching techniques. The minutiae for "ngerprint identi"cation are de"ned by ridge termination and ridge bifurcation. Most AFIS perform ridge line following process to automatically detect minutiae based on binary or skeleton "ngerprint image. ...

Synergistic allocation of urban stormwater infrastructure is critical to flood risk prevention and control under extreme rainfall events. This study focuses on the interaction regularity green, gray, blue in process runoff retention discharge scenarios. Three strategies, namely, gray infrastructure, green-gray green-gray-blue are proposed analyze effectiveness different scenarios capabilities d...

When several gray midtones are present, like a black and white photo, two values are no longer sufficient to encode all the possible gray intensities, and to each pixel must be associated a numerical value, proportional to the brightness of that point. Typical choices for these values fall in the ranges 0 31 or 0 255 (requiring respectively 4 and 8 bits for each pixel). This second kind of imag...

We propose a method based on the maximum-likelihood technique for removing speckle patterns that plague coherent images. The proposed method is designed for images whose gray levels vary continuously in space. The image model is based on a lattice of nodes corresponding to vertices of triangles in which the gray level of each pixel is produced by linear interpolation. A constraint on isoline gr...

the purpose of resent research is to analysis and compares performance evaluation models of selected investment companies in tehran stock exchange market in the field of their portfolio management. the duration of research was between years 2009-2014. statistical society the research is consisting of all active investment companies in in tehran stock exchange market which were 30 companies. vol...

This paper introduces the general framework, concepts, and procedures of anatomically informed basis functions (AIBF), a new method for the analysis of functional magnetic resonance imaging (fMRI) data. In contradistinction to existing voxel-based univariate or multivariate methods the approach described here can incorporate various forms of prior anatomical knowledge to specify sophisticated s...

Introduction Blood oxygenation level dependent (BOLD) contrast has been widely used in fMRI study to investigate neuronal functionality. While the amplitude of BOLD contrast during the brain activation (commonly called β) is widely used to monitor neuronal activity in group analyses, β usually varies over subjects because BOLD contrast depends on a number of physiological and biophysical parame...

The ability to continuously acquire simultaneous EEG and fMRI data during seizures presents a formidable challenge both clinically and technically. Published ictal fMRI reports have so far been unable to benefit from simultaneous electrographic recordings and remain largely assumptive. Unique findings from a Continuous EEG-correlated fMRI experiment are presented in which a focal subclinical se...

A new psychophysical methodology is introduced, histogram contrast analysis, that allows one to measure stimulus transformations, f, used by the visual system to draw distinctions between different image regions. The method involves the discrimination of images constructed by selecting texture micropatterns randomly and independently (across locations) on the basis of a given micropattern histo...