Contemporary datasets are becoming increasingly larger and more complex, while techniques to analyse them are becoming more and more inadequate. Thus, new methods are needed to handle these new types of data. This study introduces methods to cluster histogram-valued data. However, histogram-valued data are difficult to handle computationally because observations typically have a different numbe...

We consider the following image processing problems: compute the area and perimeter of the components of an image, compute the histogram of an image, and histogram modification. Parallel reconfigurable mesh computer algorithms are developed for these problems. The area and perimeter of the components of an N×N image are computed in O (logN) time by an N×N RMESH; the histogram of an N×N image is...

Histogram equalization is often used in image enhancement, but it can be also used in auto exposure. However, conventional histogram equalization does not work well when many pixels are concentrated in a narrow luminance range. This paper proposes an auto exposure method based on 2-way histogram equalization. Two cumulative distribution functions are used, where one is from dark to bright and t...

Pixel-value differencing (PVD) steganography generates step effects or abnormal high fluctuations in PVD histogram. Since steganalysis exploits these artifacts to defeat the PVD steganography, modified PVD (MPVD) steganography preserving the PVD histogram is recently presented. This paper proposes a novel steganalysis method, in which we embed message one more time into the suspicious image to ...

Color histograms are widely used for visual tracking due to their robustness against object deformations. However, traditional histogram representation often suffers from problems of partial occlusion, background cluttering and other appearance corruptions. In this paper, we propose a probabilistic index histogram to improve the discriminative power of the histogram representation. With this mo...

The breast cancer is the second leading cause of death in women. The most effective method for detection of early breast cancer is mammography. Based on histogram equalization, this paper proposes the method to adjust histogram value in mammography picture to improve the result to identify of breast cancer. The proposed method to adjust, the histogram are adaptively increasing the value of hist...

In this paper we present a new method for fast histogram computing. Based on the known tree-representation histogram of a region, also called reference histogram,, we want to compute the one of another region. The idea consists in computing the spatial differences between these two regions and encode it to update the histogram. We never need to store complete histograms, except the reference im...

(Automatic) Search Approach – fully automatic search exploring the impact of using frames sampled at 2 second intervals rather than keyframes: • UIowa07AS01 – required ASR using noun phrases and entities • UIowa07AS02 – required non-ASR run color histogram * edge * distance • UIowa07AS03 – color histogram similarity • UIowa07AS04 – product of maximal histogram, edge, distance similarities for s...

To improve the lossless compression ratios for images having sparse histograms, a method of histogram packing was introduced. The method was found to be effective for low bit depth images. We investigate effects of packing histograms of high bit depth images—medical CR, CT, and MR images as well as various natural 16-bit ones. We analyze an off-line packing method, which requires encoding the o...