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This paper describes a method for extraction and recognition of insulator based on aerial image. After image preprocessing involve removing noise, enhancing the contrast, edge detection and image binarization, the model for the ramp edge given by Petrou is used to realize the image orientation and image segmentation. Based on the features are extracted from moment invariants and the shape and wavelet...
This paper presents a method for restoration of blurred image of insulator based on aerial images. After the blurred image being preprocessed, the original blurred image will be restored by Lucy-Richardson, Least squares and Wiener filter respectively. Via experimental results comparison, an improved Wiener filter method is proposed. Firstly, Laplacian is applied to strengthen the edge information...
The task of k-nearest neighbor search is to find the k nearest neighbors of a query vector in the data set. Due to the orthogonality of the Haar wavelet transform, the k nearest neighbors, searching in the spatial domain, are the same as that in the wavelet domain. In addition, the transform can compress the energy into a few wavelet coefficients with low computational complexity. Therefore, some...
In this paper, a novel approach is proposed to diagnose faults of marine main engine cylinder cover. Considering vibration signal is highly related with various faults of cylinder cover, we propose to diagnose faults of marine main engine cylinder cover based on vibration signal from engine. First, a wavelet analysis method is used to characterize the power spectrum of the vibration signal. Next,...
The wavelet transform modulus extremum is considered as one of the most meaningful characteristics of a signal. This paper proposes a feature based on the density of modulus extrema of the wavelet frame representation for texture classification. It is compared with existing features by using three representative classifiers, k-nearest neighbor classifier, learning vector quantization and support vector...
Texture classification is an important component in image analysis and understanding. The wavelet, a multiresolution signal analysis technique, has been successfully applied to describe the texture. It is noticed that the wavelet transform modulus maximum and minimum can effectively characterize a signal. This paper employs the density of modulus maxima and the density of modulus minima of the wavelet...
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