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Insulator detection using an infrared image is challenged by variance of temperature, orientations, and a cluttered background. A robust and discriminative representation of insulators in electric power systems is needed. This paper proposes a novel method for generating this type of representation in infrared images by taking advantage of high-level discriminative Convolutional Neural Networks (CNNs)...
Artificial awareness is an interesting way of realizing artificial intelligent perception for machines. Since the foreground object can provide more useful information for perception and informative description of the environment than background regions, the informative saliency characteristics of the foreground object can be treated as a important cue of the objectness property. Thus, a sparse reconstruction...
Computational thinking has recently been widely recognized as a fundamental skill that should be cultivated for everyone and in every field. Although there is an increasing interest in research in teaching and learning computational thinking in recent years, an engaging, effective online learning system is yet to be built for teaching, learning, and applying computational thinking online. To this...
Environment perception is an important research issue for both unmanned ground vehicles and robots. To improve the capacity of perception, a visualized acoustic saliency feature extraction (VASFE) method based on both the short-time Fourier transform (STFT) and the Mel-Frequency Cepstrum Coefficient (MFCC) for environment sound signal processing is proposed in this paper. Sound signal is visualized...
The spatial relations representation modeling is a basic task of computer graphics comprehension, however, previous modeling is usually aimed at a certain kind of relations such as direction, topology and distance. The models are relatively independent and inconsistent with human's cognitive logic, thus building a unified spatial relations representation modeling based on different reference frames...
Organizing images into meaningful (semantically) categories using low-level visual features is a challenging and important problem in content-based image retrieval. Clustering algorithms make it possible to represent visual features of images with finite symbols. However, there are two problems in most current image clustering algorithms. One is without considering the choice of the initial cluster...
A non-linear image enhancement algorithm called Adaptive Color Restoration and Luminance MSR Based Scheme for Image Enhancement (ACRL_MSR) is presented in this paper to improve the visual quality of color images under poor lighting condition. The Red, Green, Blue(R, G, B) color bands are enhanced by adjusting luminance which is automatically enhanced to a proper range based on Human Visual System...
A component, which has a perfect combination of different materials (including homogeneous materials and different types of heterogeneous materials) in its different portions for a specific application, is considered as the component made of a multiphase perfect material. After design of such a component according to the requirements from a specific application, a CAD model for representing it should...
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