In this work, we propose a new edge detection scheme which is called the decision based directional edge detector (DBDED). Also a modification of Cheng's shrinking algorithm is developed for producing one point ed...
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In this work, we propose a new edge detection scheme which is called the decision based directional edge detector (DBDED). Also a modification of Cheng's shrinking algorithm is developed for producing one point edge segments. The methodology of the proposed edge detection algorithm is described in the following manner. In each of eight discrete directions, every point is analyzed in order to decide whether it is a one-dimensional (l-D) edge point in the given direction. This analysis is performed adaptively by using the calculated local directional standard deviation, local directional averages and a constant threshold. In order to prevent multiple edges, the pixels which are locally dominant in intensity are considered to be edge candidates. The true edge pixels are decided upon by eliminating some of the false edge candidates using a decision-based algorithm. It has been shown by extensive simulation work that the DBDED has satisfactory results in some preselected requirements compared with other well-known edge detection methods in the literature.
One of the hard problems in image recognition and understanding is region segmentation. A traditional segmentation method such as clustering is not fully useful for any image, because of the initial values of clusters...
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One of the hard problems in image recognition and understanding is region segmentation. A traditional segmentation method such as clustering is not fully useful for any image, because of the initial values of clusters and the evaluation functions of segmented clusters affect the results of region segmentation. To solve this problem, we introduce the genetic algorithm (GA) for clustering. The experimental result shows the satiable results of region segmentation which have been achieved by applying GA.< >
Although the a.c. loss in amorphous chalcogenides has been well interpreted in terms of a model of charged defects D+and D−, there is no direct (experimental) evidence for this. It is demonstrated for the first time t...
Although the a.c. loss in amorphous chalcogenides has been well interpreted in terms of a model of charged defects D+and D−, there is no direct (experimental) evidence for this. It is demonstrated for the first time that the a.c. conductivity is related to electron spin resonance and light-induced electron spin resonance in amorphous Ge-S films alloyed with Pb, showing direct evidence for defect-related a.c. transport. Alloying with Pb may result in a decrease in network flexibility, and hence the number of neutral defects D0(positive correlation energy; positiveU) increases with increasing Pb content. This may be one of the reasons for the disappearance of photodarkening when a certain amount of Pb is introduced into the Ge-S system.
The capability of a prosthetic device to mimic the response of the actual limb with respect to voluntary motor commands and to environmental loads should be addressed. This paper discusses the compliance control of an...
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An optical area-coded scheme is proposed to implement three-variable fuzzy logic based on the shadow-casting technique on one stage. In particular, no thresholding device is required. Experimental results are also given.
An optical area-coded scheme is proposed to implement three-variable fuzzy logic based on the shadow-casting technique on one stage. In particular, no thresholding device is required. Experimental results are also given.
The capability of a prosthetic device to mimic the response of the actual limb with respect to voluntary motor commands and to environmental loads should be addressed. This paper discusses the compliance control of an...
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The capability of a prosthetic device to mimic the response of the actual limb with respect to voluntary motor commands and to environmental loads should be addressed. This paper discusses the compliance control of an ultrasonic motor powered prosthetic forearm which utilizes cutaneously measured electromyogram (EMG) signals sensed with electrodes over the muscles as means of detecting motor commands sent by the central nervous system (CNS). Compliance control of the artificial limb was studied by implementing the bilinear model of the forearm and hand. This model emphasizes the role of the visco-elastic properties of the musculo-skeletal system of the actual limb in controlling its net configuration and movement. The flexor and extensor muscles extending over a joint influence the overall joint impedance and determines the equilibrium position of the joint. Relaxing both flexor and extensor muscles makes the joint compliant to external forces, while activating both muscles increases the impedance of the joint.< >
A zero voltage switched resonant converter has been designed and built as a transcutaneous energy transmission system to transfer 30 W across a variable air gap of 5-20 mm. The converter could power a total implantabl...
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A zero voltage switched resonant converter has been designed and built as a transcutaneous energy transmission system to transfer 30 W across a variable air gap of 5-20 mm. The converter could power a total implantable artificial heart through intact skin by utilizing a transformer. In the converter, the large leakage inductances of the transcutaneous transformer have been incorporated in the resonant inductor. The steady-state operation of an experimental transcutaneous power supply has been accurately predicted by the theoretical analysis.< >
An AND‐EXOR expression (exclusive‐or sum‐of‐products expression: ESOP) is obtained by EXORing arbitrary product terms. First, some properties are shown of minimum ESOPs which are useful for the minimization of ESO...
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An evaluation of autonomic nervous control using fluctuations of R-R interval variability is presented. Diabetic autonomic neuropathy concerned with autonomic nervous control is discriminated by using the R-R interval...
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An evaluation of autonomic nervous control using fluctuations of R-R interval variability is presented. Diabetic autonomic neuropathy concerned with autonomic nervous control is discriminated by using the R-R interval time series in the frequency domain. Diabetic autonomic neuropathy has been classified with high recognition employing this method.< >
One of the most promising approaches for high speed networks for integrated service applications is fast packet switching, or ATM (asynchronous transfer mode). ATM can be characterized by very high speed transmission ...
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One of the most promising approaches for high speed networks for integrated service applications is fast packet switching, or ATM (asynchronous transfer mode). ATM can be characterized by very high speed transmission links and simple, hard-wired protocols within a network. To match the transmission speed of the network links, and to minimize the overhead due to the processing of network protocols, the switching of cells is done in hardware switching fabrics in ATM networks. A number of designs have been proposed for implementing ATM switches. Although many differences exist among the proposals, the vast majority of them are based on self-routeing multi-stage interconnection networks. This is because of the desirable features of multi-stage interconnection networks such as self-routeing capability and suitability for VLSI implementation. Existing ATM switch architectures can be classified into two major classes: blocking switches, where blockings of cells may occur within a switch when more than one cell contends for the same internal link, and non-blocking switches, where no internal blocking occurs. A large number of techniques have also been proposed to improve the performance of blocking and non-blocking switches. In this paper, we present an extensive survey of the existing proposals for ATM switch architectures, focusing on their performance issues.
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