New combining rules are proposed for the well depth, E , and interaction distance, a, describing nonbonded interatomic forces for rare gas pair interactions. Concepts underlying current combining rules applied in simulations of macromolecular and polymer systems are shown to be incompatible with experimental data on the rare gases. The current combining rules are compared with the new results u...

In this paper, we present an investigation into the combination of rules for text categorization using Dempster’s rule of combination. We first propose a boosting-like technique for generating multiple sets of rules based on rough set theory, and then describe how to use Dempster’s rule of combination to combine the classification decisions produced by multiple sets of rules. We apply these met...

This paper describes a new algorithm for combining color and texture information for the segmentation of color images. The algorithm uses maximum likelihood classi cation combined with a certainty based fusion criterion. The algorithm was validated using mosaics of real color textures. It was also tested on real outdoor color scenes and aerial images. This algorithm is part of a more complex sy...

AbstructWe combine pruned tree-structured vector quantization (pruned TSVQ) with Itoh’s universal noiseless coder. By combining pruned TSVQ with universal noiseless coding, we benefit from the “successive approximation” capabilities of TSVQ, thereby allowing progressive transmission of images, while retaining the ability to noiselessly encode images of unknown statistics in a provably asymptoti...

Digital cameras are becoming increasingly common for capturing information in business settings. In this paper, we describe a novel method for classifying images into the following semantic classes: document, whiteboard, business card, slide, and regular images. Our method is based on combining low-level image features, such as text color, layout, and handwriting features with high-level OCR ou...

Spatiotemporal fusion (STF) is considered a feasible and cost-effective way to deal with the trade-off between spatial temporal resolution of satellite sensors, generate images high resolutions. This achieved by fusing two types images, i.e., fine but rough resolution, resolution. Numerous STF methods have been proposed, however, it still challenge predict both abrupt landcover change, phenolog...

While geometric registration has been studied in remote sensing community for many decades, successful cases are rare, which register images allowing local inconsistency deformation caused by topographic relief. Toward this end, a region-by-region combining the feature-based and optical flow methods is proposed. The proposed framework establishes on calculation of pixel-wise displacement mosaic...

Automatic bridge surface defect detection is of wide concern; it can save human resources and improve work efficiency. The object algorithm, especially the You Only Look Once (YOLO) series networks, has important potential in real-time because its fast speed, provides an efficient automatic method for detection. Hence, this paper employs improved YOLOv3 network detecting defects (cracks exposed...

Our visual system must allow us to see the form of objects in motion. Tracking objects of interest stabilises their images on the retina, but is not sufficient, as untracked images move on the retina. This problem is solved by cells tuned in both space and time, combining information about form with information about motion.