We have developed a mobile vision assistive device based on a head mounted display (HMD) with a video camera, which provides image magnification and contrast enhancement for patients with central field loss (CFL). Because the exposure level of the video camera is usually adjusted according to the overall luminance of the scene, the contrast of sub-images (to be magnified) may be low. We found t...

The selection of “proper similarity measure” of color histograms is an essential consideration for the success of many methods. The Histogram Quadratic Distance Measure (HQDM) is a metric distance. Till today, this method is supposed to be the better choice, But it holds a disadvantage that it can compute the cross similarity between all elements of histograms. Therefore, computationally it is ...

There are situations in which it is necessary to combine samples obtained under different simulation conditions to determine properties (e.g. averages or PMFs) of the system under a single condition (which may not even be one of the conditions that were actually simulated). One example is the determination of a PMF to obtain accurate measures of a free energy barrier. If the barrier is substant...

8 In this paper we introduce a new histogram equalization based contrast enhancement method called High Speed Quantile Based Histogram Equalization (HSQHE) suitable for high contrast digital images. The proposed method is an effective tool to deal with the “mean-shift” problem, which is a usual problem with the histogram equalization based contrast enhancement methods. The main idea of HSQHE is...

Abstract Mutual Information (MI) is an important dependency measure between random variables, due to its tight connection with information theory. It has numerous applications, both in theory and practice. However, when employed in practice, it is often necessary to estimate the MI from available data. There are several methods to approximate the MI, but arguably one of the simplest and most wi...

Surface water distribution extracted from remote sensing data has been used in water resource assessment, coastal management, and environmental change studies. Traditional manual methods for extracting water bodies cannot satisfy the requirements for mass processing of remote sensing data; therefore, accurate automated extraction of such water bodies has remained a challenge. The histogram bimo...

This paper proposes a nonparametric Bayesian model for constructing a trimmed prototype representation of handwritten digit images. We assume that all images are resized to the same size. At each pixel point, we count the number of occurrences of grayscaled colors over multiple images. Then we obtain a color histogram at each pixel location. When we conduct this counting over images of the same...

Measurement and calibration of an analog-to-digital converter (ADC) using a histogram-based method requires a large volume of data and a long test duration, especially for a high resolution ADC. A fast and accurate calibration method for pipelined ADCs is proposed in this research. The proposed calibration method composes histograms through the outputs of each stage and calculates error sources...

Fingerprint identification and matching are the most important areas in digital image processing. Fingerprint identification is a prominent method of biometric identification. The quality of the fingerprint image is a significant one for a reliable matching process. The quality of the image can be enhanced at the preprocessing stage of image processing. In this paper we describe a fuzzy modelin...

A robust thresholding technique is proposed in this paper for segmentation of brain MR images. It is based on the fuzzy thresholding techniques. Its aim is to threshold the gray level histogram of brain MR images by splitting the image histogram into multiple crisp subsets. The histogram of the given image is thresholded according to the similarity between gray levels. The similarity is assesse...