In this paper we present a sharpening operator for color images that is based on perceptual considerations about how human visual behaves for color scenes. Color contrast is an induction phenomenon of the visual system that varies the chromaticity of a color region depending on the color of its surround, provoking an enhanced perception of color scenes. This effect can be simulated by a sharpen...

The SKIPSM (Separated-Kernel Image Processing using finite-State Machines) paradigm offers fast execution of a very wide range of binary, grey-scale, 3-D, and color image-processing applications. In this paper the finite-state-machine approach is applied to one of the “classical” problems of binary image processing: connected-component analysis (“blob” analysis”). Execution-time results are pre...

An Insight Toolkit (ITK) processing framework for blob segmentation with applications to microscopy images is presented in this paper. Our algorithm is a refinement of the work of Mosaliganti et al. [3] for splitting cell clusters. The basic idea is to incorporate as many cues as possible into developing a suitable level-set speed function so that an evolving contour exactly segments a cell/nuc...

Measuring biomass content is an important stage in harvesting shrimp as it will determine the harvest time. Manual detection has caused stress and eventually death; therefore, a new determination required. This research aims to design IoT technique-based measurement, using underwater video with fog cloud computing processes easily detect underwater, irrespective of complex noise. The method con...

In the medical image annotation task we have mainly explored ways to use different image features to achieve robust classification performance, including both global features and regional blob features. Experimental results show that using a combination of the blob region feature and three low resolution pixel maps (gray level, texture and contrast) can achieve the highest recognition accuracy....

geopolitical imagination, by definition, is the competition between powers in forming individuals’, institutions’ and political factors’ perception of the characteristics and contents of geographical space, on the basis of their intended interests. in this article, as a case study, the us perception of the :union: of soviet socialist republics during the cold war era is analysed. the authors ar...

BACKGROUND Laminography is a tomographic technique that allows three-dimensional imaging of flat and elongated objects that stretch beyond the extent of a reconstruction volume. Laminography images can be reconstructed using iterative algorithms based on the Kaczmarz method. OBJECTIVE This study aims to develop and demonstrate a new reconstruction algorithm that may provide superior image rec...

Introduction: Micro-computed Tomography (μ-CT) is an increasing common technique used to reveal minute details and micro-architecture of bio-materials. With the vast dataset involved, manual analysis of images is time-consuming and impractical. The aim of this study is to develop a fully automated approach to perform three-dimensional blob analysis of μ-CT data to assist further study on the di...

In recent years, automatic image annotation (AIA) has been applied to cross-media retrieval usually due to its advantage of mining correlations of images and annotation texts efficiently. However, some AIA methods just annotate images as a unit and the accuracy of annotation may not be acceptable. In this paper, we propose a kind of probabilistic model which may assign keywords to an un-annotat...

Autonomous vehicle detection and tracking are crucial for intelligent transportation management control systems. Although many techniques used to develop smart traffic systems, this article discusses using pixel-labeling real-time tracking. We propose a novel system that segments the image an Extreme Gradient Boost (XGBoost) classifier extract foreground objects. The proposed model is divided i...