in this paper, a new method is presented for the detection of defects in random textures. in the training stage, the feature vectors of the normal textures’ images are extracted by using the optimal response of gabor wavelet filters, and their probability density is estimated by means of the gaussian mixture model (gmm). in the testing stage, similar to the previous stage,at  first, the feature...

Video networks is an emerging interdisciplinary field with significant and exciting scientific and technological challenges. It has great promise in solving many real-world problems and enabling a broad range of applications, including smart homes, video surveillance, environment and traffic monitoring, elderly care, intelligent environments, and entertainment in public and private spaces. This...

■ This article presents an overview of the theoretical and practical issues associated with the development, analysis, and application of detection algorithms to exploit hyperspectral imaging data. We focus on techniques that exploit spectral information exclusively to make decisions regarding the type of each pixel—target or nontarget—on a pixel-by-pixel basis in an image. First we describe th...

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We report progress on adding affect-detection to a program for virtual dramatic improvisation, monitored by a human director. To aid the director, we have partially implemented emotion detection. within users’ text input. The affect-detection module has been used to help develop an automated virtual actor. The work involves basic research into how affect is conveyed through metaphor and contrib...

Today signature verification are used in various places for authentication and security purpose .Every signature or signed identified each person physiological or behavioral characteristic. Signature matching is very important in this time because any person can generated another person signature in fraud way. So systems have need for verification of the signature. The signature verification ca...

In automation flexible manufacturing systems, tool wear detection during the cutting process is one of the most important considerations. This study presents an intelligent system for online tool condition monitoring in drilling process .In this paper, analytical and empirical models have been used to predict the thrust and cutting forces on the lip and chisel edges of a new drill. Also an empi...

With the rapid development of national power grid, there is an increasing and strict demand for accurate intelligent management. However, current detection algorithms have limited abilities under adverse conditions, especially in regions like Yunnan Province with complex terrain. To address this issue, we propose a method that utilizes infrared visible images to make more informative, thereby i...

Fatigue detection has many applications, one of them is intelligent transportation for accident prevention. It challenging to detect driver fatigue adopting photometric stereo and 3D fatigue-related facial action unit identification. During reconstruction shadows are encountered, causing error, therefore, accurate shadow removal crucial. This study presents a novel snake based approach handling...