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In this paper, we present an object pattern extraction method using a recently proposed edge detection approach based on Linear Prediction (LP), with specific applications to pattern extraction of underwater sonar images. The novel edge detection method is illustrated, an entropy method used to calculate the threshold that separates the object and the background is discussed, and the application of...
Traditionally, human facial expressions are recognized using standard images. These methods of recognition require subjective expertise and high computational costs. This article presents a novel facial expression recognition method using edge maps generated from standard images that can significantly improve computational efficiency. The edge maps are generated from a novel Bi-dimensional Empirical...
In this paper, we focus on the problem of Unmanned Aircraft System (UAS) boundary detection, one of the most important intermediate steps to intelligent acquisition and processing, and proposed a wavelet transform optimization scheme for the purpose of improving traditional edge detect operators performance. The experimental evidence on Global Hawk unmanned system boundary extraction indicates the...
Traditionally, Linear Prediction is used to predict future values of a signal using past values. The goal is to minimize prediction errors. In this paper, we propose a novel method of utilizing prediction errors to extract edges of images. In this method, smooth prediction errors are minimized while steep changes (larger errors) are amplified. Therefore, when applied to image edge detection, edge...
This article presents an edge detection method using fast Bidimensional EMD and mathematical morphological methods. It is shown that the detection results are better than other comparable algorithms. The optimization of the presented algorithm extracts sufficient features for intended applications.
The paper describes a new method for recognizing corridors for autonomous mobile robot. The method detects the edge markers of a corridor based on the genetic-algorithm (GA) and 3D model-based matching. The edge markers with distinct color are generally located at the bottom of the walls for human visual recognition. To recognize the edge markers and the branch of corridor stably and precisely, a...
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