Most pedestrian detection systems are built based on computer vision technology and usually are composed of two basic modules: object detection module, and recognition module. This paper presents an efficient filtering module, which works between the two basic modules, based on extracting the 3-dimensional information from single frame images. The filter module removes the noisy objects extract...

This paper deals with a fault detection for a magnetic suspension system by using Generalized Internal Model Control (GIMC) structure. To design robust fault detection filters, two fault detection design problems are formulated as multiple objective optimization problems by minimizing the effects of disturbances and maximizing the fault sensitivity involving an LTI system with disturbance and f...

This paper presents a useful dual stage filter i.e. fuzzy window detection and median filter (FWDM) for the detection and removal of salt-and-pepper noise. Initially, the stage of detection utilizes the corrupted image histogram for the detection of “noisy” pixels, then in the next stage i.e. filtering stage, all the “noisy “pixels will be subjected for further processing while all the “noise-f...

The Gaussian filter has been used extensively in image processing and computer vision for many years. In this survey paper, we discuss the various features of this operator that make it the filter of choice in the area of edge detection. Despite these desirable features of the Gaussian filter, edge detection algorithms which use it suffer from many problems. We will review several linear and no...

Sequential (search) methods for edge and line detection and parallel (filter) methods for edge detection are wellknown. Filter methods for line detection are generally based on direction-by-direction filtering: each filter is parallel, but only special hardware architectures allow filtering in different directions simultaneously. We present a class of isotropic edge and line detection filters t...

With the development of the theory of wavelet transform, biorthogonal wavelet filter banks with linear phase and compact support characteristics are widely used in signal and image processing. We study the multiscale edge detection using anti-symmetrical biorthogonal wavelet filter banks with the same even length based on the analysis of the properties of this wavelet filter banks. The steps of...

Vibrothermography is a relatively new nondestructive evaluation technique for finding cracks through frictional heat generated from crack surface vibrations under external excitations. The vibrothermography inspection method provides a sequence of infrared images as output. We use a matched filter technique to increase the signal-to-noise ratio of the sequence-of-images data. An automatic crack...

Spectrum sensing is an important task in cognitive radio (CR). Matched filter technique one of the techniques employed for spectrum sensing in cognitive radio which faces the challenge of low frequency offset tolerance in very low SNR environments. Hybrid matched filter architecture is used to improve this frequency offset tolerance. But, overall even such kind of architecture results in coarse...

This project is mainly about using different windows in Matlab to design FIR filter for signal with different kinds of noise. Compare the results of the signal having noise through the filter with the former result to see whether the designed filter works well. Then the DSP Tool outside class which is detection will be discussed. This part is about how to determine who the speaker according to ...

The detection of hydrophobicity is an important way to evaluate the performance of composite insulators, which is helpful to the safe operation of composite insulators. Image processing technology is used to judge the hydrophobicity of composite insulators, which makes detection results more accurate and overcomes the subjective drawbacks of traditional detection methods. As the traditional Can...