This study proposes a new pallet recognition system using Kinect camera. Depth image of Kinect camera is produced from the infrared ray data of random dot type. This system was applied to an automated guided vehicle(AGV) to recognize the pallet in various conditions. A modularized hardware and software of the pallet recognition system was developed. The performance of the developed pallet recog...

The idiosyncrasies of the medical profession makes medical image mining a challenge. Image mining deals with the extraction of implicit knowledge, image data relationship, or other patterns not explicitly stored in the images. It is very difficult to determine the exact number of microorganisms under the microscope in the presence of a human expert in conventional methods. An automated tool for...

Body-wide anatomy recognition on CT images with pathology becomes crucial for quantifying body-wide disease burden. This, however, is a challenging problem because various diseases result in various abnormalities of objects such as shape and intensity patterns. We previously developed an automatic anatomy recognition (AAR) system [1] whose applicability was demonstrated on near normal diagnosti...

The human face is the main focus of attention in social interaction, and is also the major key in conveying identity and emotion of a person. It has the appealing characteristic of not being intrusive as compared with other biometric techniques. The research works on face recognition started in the 1960s with the pioneering work of Bledsoe and Kanade, who introduced the first automated face rec...

Medical image classification is one of the most widely used methodologies in the biomedical field for abnormality detection in the anatomy of the human body. Image classification belongs to the broad category of pattern recognition in which different abnormal images are grouped into different categories based on the nature of the pathologies. Nowadays, these techniques are automated and high ac...

The license plate recognition system is part of the intelligent transportation system. In the intelligent transportation system, the vehicle image is used as the system input. The first step is to improve the image, after the edge detection, a series of morphological operations are performed to identify the plaque. The main purpose of this research was to increase the importance of plate re...

This paper presents a system for the automated inference of complex mental states from observed facial expressions and head gestures in video. Head actions are identified from image-based pose estimation. Facial actions, including asymmetric ones, are extracted from motion, color and shape parameters. A multi-level dynamic Bayesian network classifier models complex mental states as a sequence o...

In the field of computer vision, automated image annotation and object recognition are currently important research topics. It is hoped that these will lead to improved general image understanding which can be usefully applied in Content-based Image Retrieval. Three approaches to image annotation are reviewed: free text annotation, keyword annotation and annotation based on ontologies. An analy...

Nowadays, ancient coins are becoming subject to a very large illicit trade. Thus, the interest in reliable automatic coin recognition systems within cultural heritage and law enforcement institutions rises rapidly. Central component in the permanent identification and traceability of coins is the underlying image recognition technology. Prior to any analysis a coin image has to be segmented int...

Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmonic Energy features (HEs) for emotion recognition. These features extracted from the spectrogram ...