First-order linear filters constitute the algorithms most widely applied to edge detection in digital images. Nevertheless they don’t allow good results to be obtained from images where the contrast varies a lot, due to non-uniform lighting, as it happens during acquisition of most part of natural images. In this paper, we evaluate the performance of a fuzzy inference system in edge detection. ...

Bangladeshi vehicle digital license plate recognition system using support vector machine for metropolitan cities (i.e. Dhaka, Chittagong) is presented in this paper. The proposed system divided into three major partslicense plate detection, plate character segmentation and character recognition. Experiments have been done for this proposed framework. More than 1000 images taken from various sc...

The detection of edges in images is a vital operation with applications in various fields. There are a number of methods developed already for the same. We have developed a 'global method' for extraction of edges which is a modification of the existing Sobel operator. We have first extracted the bit planes of each image and have applied the Sobel operator on each bit plane for enhance...

Content-based image retrieval (CBIR) is an alternative way to achieve effective image retrieval results that fulfill the user’s requirement when he/she search for image information from the Web. In this paper, we present a Malaysia’s travel destination images retrieval prototype application using moment geometry. In this prototype the effectiveness and the accuracy of the image retrieval proces...

A novel scheme for developing, at low computational cost, neural-fuzzy classifiers based on large-scale, model-based exemplars is outlined. The new method extends the approach that Bezdek applied to train a neural net (NN) Sobel edge classifier by training the NN on the complete population of 3x3 binary image prototypes scored to fuzzy values by a classical operator. We first show that, replaci...

Texture is an important property used in classifying the regions of interests in an image. Literally, it is defined as the uniformity of a substance or a surface. Technically, it gives us the information about the spatial arrangement of structures in an image. One of the earliest methods used for texture feature extraction is the Gray-Level Co-occurrence Matrix (GLCM) which contains second orde...

This note studies the following question: If a researcher is given a finitely supported mixed strategy for each player over a continuous strategy space, does there exist a game whose unique Nash equilibrium is given by these mixed strategies? This note finds that any set of finitely supported mixed strategies on metric spaces can be represented as the unique Nash equilibrium to a separable game...

This paper proves folk theorems for repeated games with private information, communication, and monetary transfers, in which signal spaces may be arbitrary, signals may be statistically interdependent, and payoffs for each player may depend on the signals of other players. JEL Classifications: C72 (Noncooperative games), C73 (Stochastic & dynamic games), D82 (Asymmetric & private information) *...

We develop an equilibrium framework that relaxes the standard assumption that people have a correctly-specified view of their environment. Each player is characterized by a (possibly misspecified) subjective model, which describes the set of possible beliefs (over distributions over others’ actions and payoff relevant states). We introduce the notion of a Berk-Nash equilibrium: Each player foll...

The majority of image-processing techniques interact treating the impression as being a two dimensional signal and applying normal signal-processing techniques to it. Within this document we offer a new standard approach to have the hidden restrictions which aren't revealed by the Sobel together Canny filters together in face-recognition environment. We've also showed the effect of the contrast...