Cross-neuron-interval histogram (CNIH) analysis has been performed in order to study correlated activity and connectivity between pairs of neurons in a spontaneously active developing cultured network of rat cortical cells. Thirty-eight histograms could be analyzed using two parameters, one for the shape and one for the average number per interval bin. The histogram shape vaned gradually betwee...

In this paper we discuss and compare two feature extraction techniques: histogram-based and Principal Component Analysis. Comparison is done on an analog filter fault diagnosis example performed in the frequency domain. Both techniques are implemented in a neural network system for the off-line diagnosis of electronic analog and mixed-signal circuits. The numerical and experimental examples of ...

We present an automated algorithm for global contrast enhancement of images with multimodal histograms. To locate modes and valleys, histogram analysis is performed by kernel density estimation, a robust nonparametric statistical method. Histogram warping by monotonic splines pushes the modes apart, spreading them out more evenly across the dynamic range. This technique can assist in the contra...

This paper proposes a simplified anti-forensics method for JPEG compression. For a spatial image decompressed from a JPEG file, traces of compression can be tracked by many forensic methods. To conceal these clues of comblike DCT histogram and blocking artifacts, we use the method of image enhancement and filtering. Compared with Stamm’s method of introducing noise into the targeting image, the...

Logistic regression models are a popular and effective method to predict the probability of categorical response data. However, inference for these can become computationally prohibitive large datasets. Here we adapt ideas from symbolic data analysis summarize collection predictor variables into histogram form, perform on this summary dataset. We develop based composite likelihoods derive an ef...

OBJECTIVES To describe changes over time in extent of idiopathic pulmonary fibrosis (IPF) at multidetector computed tomography (MDCT) assessed by semi-quantitative visual scores (VSs) and fully automatic histogram-based quantitative evaluation and to test the relationship between these two methods of quantification. METHODS Forty IPF patients (median age: 70 y, interquartile: 62-75 years; M:F...

Histogram warping is a novel histogram specification technique for use in color image processing. As a general purpose tool for color correction, our technique constructs a global color mapping function in order to transform the colors of a source image to match a target color distribution to any desired degree of accuracy. To reduce the risk of color distortion, the transformation takes place ...

OBJECTIVE The purpose of this study was to differentiate true progression from pseudoprogression of glioblastomas treated with concurrent chemoradiotherapy (CCRT) with temozolomide (TMZ) by using histogram analysis of apparent diffusion coefficient (ADC) and normalized cerebral blood volume (nCBV) maps. MATERIALS AND METHODS Twenty patients with histopathologically proven glioblastoma who had...

Despite their diversity, it is well known that traffic anomalies share a common characteristic: they introduce changes in the traffic behavioral aspects defined by certain traffic features, i.e. packet header fields. To apply traffic features for anomaly detection and identification, one promising class of approaches, which were proposed recently [1] [2] [3], have their basis on some analysis o...