The paper proposes a generic color-texture feature integration framework. We propose two variants of edge based texture capturing method using filter banks of tensor products obtained from Orthogonal Polynomials (OP) OP3 of order 3 and OP5 of higher order 5 which are applied on Hybrid Color Space (HCS) for color texture feature integration. A region based unsupervised segmentation algorithm is ...

Emily J Lyons ([email protected]) William Amos ([email protected]) James A Berkley ([email protected]) Isaiah Mwangi ([email protected]) Mohammed Shafi ([email protected]) Thomas N Williams ([email protected]) Charles R Newton ([email protected]) Norbert Peshu ([email protected]) Kevin Marsh ([email protected]...

In this paper, we propose a variety of the time-domain shooing method for finding steady state responses of nonlinear circuits in order to implement it on SPICE-like simulators. Furthermore, the proposed method is extended to the design of Class E amplifier. In the numerical examples, the proposed method is demonstrated using the latest version of Berkley SPICE.

This paper presents a new dataset of images gathered from the Web with corresponding text obtained from the webpages near where the images appeared. Already extracted features are provided to ease the dataset usage for other researchers. An initial release of 250,000 images is targeted at automatic image annotation with unsupervised data. This dataset is the one being used for the ImageCLEF 201...

Accurate and fast classification of large data obtained from medical images is very important. Proper images (data) processing results to construct a classifier, which supports the work of doctors and can solve many medical problems. Unfortunately, Nearest Neighbor classifiers become inefficient and slow for large datasets. A dataset reduction is one of the most popular solution to this problem...

Background: Medical image interpolation is recently introduced as a helpful tool to obtain further information via initial available images taken by tomography systems. To do this, deformable image registration algorithms are mainly utilized to perform image interpolation using tomography images.Materials and Methods: In this work, 4DCT thoracic images of five real patients provided by DI...

The classification of various document images is considered an important step towards building a modern digital library or office automation system. Convolutional Neural Network (CNN) classifiers trained with backpropagation are considered to be the current state of the art model for this task. However, there are two major drawbacks for these classifiers: the huge computational power demand for...

We proposed an approach for human pose estimation over monocular depth images. We augment the data by sampling from existing dataset and generate synthesized images. The generated dataset covers a more continuous pose space than the existing one. We use the generated dataset to train a multi-pathway neural network. We also introduced an orientation and translation invariant embedding for poses ...

In this thesis a method for the automated identification of tree species from images of leaves, needles and bark is presented. In contrast to the current state of the art for the identification from leaf images, no segmentation of the leaves is necessary. Furthermore the proposed method is able to handle damaged and overlapping leaves. This is done by extracting keypoints in the image which all...