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An increasing number of unknown islands, an important resource for human development, is identified based on segmentation of remote sensing image. Different from traditional digital image, remote sensing image has significant characteristics, such as multi-band, multi-source, and multi-granularity. Thus, the segmentation theory based on traditional digital image is not suitable for remote sensing...
With the rapid development of highway, the distribution of surveillance cameras has become increasingly intensive, which brings important significance to traffic safety by detecting visibility of fog using surveillance video. In this paper, a fog level detection method based on grayscale features is proposed. Sometimes there is no proper calibration template in highway. In order to meet the requirement...
Line feature is one of the most important features of palmprint image. A novel approach of principal palm-line extraction is proposed in this paper based on their characteristics of ridge edges. First, gray adjustment and median filtering are used to enhance contrast and weaken noise. Then, palm-lines are detected based on diversity and contrast. After this step, an improved Hilditch algorithm is...
The garbage crusher is one of the important parts in recoverable coal production line. To diagnose its faults during the working process, back propagation algorithm is used. However, it has some shortcomings, such as low precision solution, slow searching speed and easy convergence to the local minimum points. To overcome this problem, a novel method which integrates back propagation neural network...
As a new kind of identity authentication technology, finger-vein recognition has many merits. In order to improve the robustness and stability of detecting the finger-vein, an enhanced method for extracting finger-vein feature based on morphology is proposed in this paper, which combines with morphological peak and valley detection. The images will be scanned across the boundaries and the valley detection...
With the development of digital and waveform micro-seismic emission (ME) technology, it makes the recognition of ME source possible. Because of the noise and complex of ME signal transmission characteristic, the recognition of ME source is very difficult. In order to resolve this problem, the new method of multi-sensor data fusion on decision level was presented. Using the data from each sensor in...
This paper presents a novel audio-visual fusion method for speech detection, which is an important front-end for content-based video processing. This approach aims to extract homogeneous speech segments from the accompanying audio stream in real-world movie/TV videos with the help of video captions. Note that captions are mainly created to help viewers to follow the dialog, rather than to accurately...
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