A novel hierarchical approach for image retrieval is proposed in this paper. First, a color label histogram is used to effectively filter out the images that are not similar to the query image in color. The color label matrix is built by categorizing the pixel colors into a set of 13 colors and by labeling each pixel based on its color category ID. Next, the class parameters of those images pas...

A Monte Carlo technique has been developed to simulate and correct for the effect of Compton scatter in 3-D acquired PET whole body imaging. The method utilizes the attenuation corrected and normalized, 3-D reconstructed image volume as the source intensity distribution for a photon-tracking Monte Carlo simulation. It is assumed that the number of events in each pixel of the image represents th...

Measuring positions, velocities and accelerations/decelerations of individual vehicles in congested traffic with standard traffic monitoring equipment, such as inductive loops, are not feasible. The behavior of drivers in the different traffic situations, as re-quired for microscopic traffic flow models, is still not sufficiently known. Remote sensing and computer vision technology are recently...

Results from any existing clustering algorithm that are used for segmentation are highly sensitive to features that limit their generalization. Shape is one important attribute of an object. The detection and separation of an object using fuzzy ring-shaped clustering (FKR) and elliptic ring-shaped clustering (FKE) already exists in the literature. Not all real objects however, are ring or ellip...

Object recognition under varying pose is a challenging problem, especially when illumination variations are also present. In this paper, we propose a pose-normalized view synthesis method under varying illuminations for symmetric objects. For a given non-frontal view of a symmetric object under non-frontal illumination, the mirror image of the original view is equivalent to the view when the ob...

The presence of a strong multiplicative noise known as speckle complicates edge detection in Synthetic Aperture Radar (SAR) images and makes usual edge detectors inefficient. However, speckle is very well modelled statistically, and we here use this property to develop two non-linear multiresolution edge detectors for SAR images. A normalized ratio of local averages on opposite sides of the cen...

With the recognition in recent years of the influence of three-dimensional (3-D) radiative transfer on cloud optical property retrievals, interest in the measurements of the Thematic Mapper (TM) radiometer aboard the Landsat satellite has been renewed. This instrument provides a unique high-resolution data set where the effects of 3-D cloud structure are expected to be prominent. The purpose of...

We present a method for measuring similarity among any two image pixels, based on the distribution of image chromaticities near each pixel. This measure is designed for algorithms that use pairwise pixel similarity measures to segment images. We describe a way to combine the proposed color-based measure with previously developed grayscale similarity measures. We show that adding the colorbased ...

Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado), mainly transition between Cerrado and Amazon Forest, to increase productivity while reducing pressure for new land clearing. Due growing demand more sustainable practices, accurate information on geospatial monitoring is required. Remote sensing products artificial intelligence models pixel-by-pixel cla...

Identificaiton of people using a set of gait image sequences in varing situations is a challenging problem. We use a bilinear model to separate two independent factors, gait style and phase. N-normalized gait poses is defined and generated by embedding gait image sequences to a standard lower dimensional manifold and learning mapping from the manifold to every pixel. This normalized gait phase ...