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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)...
Particle filter is a popular stochastic tracker for object tracking. In this paper, we proposed a novel algorithm for object tracking based on particle filter and Scale Invariant Feature Transform (SIFT). The result of SIFT matching does not adopt to reweight the particles as previous methods, we adopts a hybrid schema to supplement the particle distribution of traditional factor sampling with importance...
Due to the complex illumination conditions under foggy weather, it is essential to perform an image enhancement stage to reverse the contrast-degraded. We propose a new traffic image enhancement method based on the vanishing point detection. The base principle of the method is atmosphere scattering model. Vanishing points are used to estimate the depth of field. The key feature of vanishing points...
The structural feature extraction from regular-shaped rigid objects is continuously studied. Some rules based on prior knowledge are proposed to improve the effects of the same subject(1). First, some rules are introduced for recovery of the missing true features. Then, some rules for distinguishment between true features and pseudo features are proposed, which is suggested be executed in a recursive...
With the rapid advances in computing and electronic imaging technology, there has been increasing interest in developing computer aided medical diagnosis systems to improve the medical service for the public. Images of ocular fundus provide crucial observable features for diagnosing many kinds of pathologies such as diabetes, hypertension, and arteriosclerosis. A computer-aided retinal image analysis...
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