Edge Detection using Fuzzy Logic in Matlab Suryakant, Neetu Kushwaha Department of Computer Science and Engineering, NIT Jalandhar Abstract— This paper proposes the implementation of a very simple but efficient fuzzy logic based algorithm to detect the edges of an image without determining the threshold value. The proposed approach begins by scanning the images using floating 3x3 pixel window. ...

In this paper, we perform an experimental study to investigate directional variograms in punctual kriging and consequently its effect on image restoration. We employ punctual kriging in conjunction with fuzzy logic typeII and fuzzy smoothing based approaches to remove white Gaussian noise from corrupted images. Images degraded with Gaussian white noise are restored by first utilizing fuzzy logi...

Multimedia and advanced real-time systems integrate a variety of applications and media types in one environment, many of which have timing properties which are not supported by current window systems running in multitasking environments. This paper discusses several key aspects to designing window systems which support continuous media and other real-time applications. These design considerati...

An unconstrained Farsi handwritten word recognition system based on fuzzy vector quantization (FVQ) and hidden Markov model (HMM) for reading city names in postal addresses is presented. Preprocessing techniques including binarization, noise removal, slope correction and baseline estimation are described. Each word image is represented by its contour information. The histogram of chain code slo...

Entropy measures that assess signals' complexity have drawn increasing attention recently in biomedical field, as they have shown the ability of capturing unique features that are intrinsic and physiologically meaningful. In this study, we applied entropy analysis to electroencephalogram (EEG) data to examine its performance in epilepsy detection based on short-term EEG, aiming at establishing ...

Progressive advancements in the data stream mining have paved way for many algorithms to solve the problem of concept drift, a serious problem due to the wavering nature of the real time concepts. Concepts tend to change with time therefore concept drift is unavoidable in data stream mining but efficient algorithms can be designed to detect the concept drift and solve the problem. This paper pr...