Edges characterize boundaries and are therefore a problem of fundamental importance in image processing. Image Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding o...

assessment of the reservoir structure and determination of theinsitu stress direction arenecessary in oil production optimization andfield development. today, the application of reservoir software and image logsplay a central role in resolving this problem. electricand ultrasonic imaging tools record vast amounts of high-resolution data within the borehole wall. this enables the geoscientists t...

Nowadays, most factories rely on machines to help boost up their production and process. Therefore, an effective machine condition monitoring system plays an important role in these factories to ensure that their production and process are running smoothly all the time. In this paper, a new and effective machine condition monitoring system using log-polar mapper, quaternion based thermal image ...

This paper describes a real-time vergence control mechanism developed for the stereo head MEDUSA 13], in the context of behavior based active control 3]. Real-time control architectures for active vision impose strong constraints on the computational complexity of image processing algorithms. In many applications, the image size is often drastically reduced in order to achieve fast and reactive...

With the abundance of video data, the interest in more effective methods for recognizing faces from unconstrained videos has grown. State-of-the-art algorithms for describing an image set use descriptors that are either very high-dimensional and/or sensitive to outliers and image misalignment. In this paper, we represent image sets as dictionaries of Symmetric Positive Definite (SPD) matrices t...

Spatial power spectra from natural images fall approximately as the square of spatial frequency, a property also called scale invariance (scaling). Various theories for visual receptive fields consider scale invariance key. Two hypotheses have been advanced in the literature for why natural images obey scale invariance. The first is that these images have luminance edges, whose spectra fall as ...

In this work we present approaches to incorporate domain-knowledge into discriminative classifiers. In particular, we investigate the incorporation of the image distortion model into log-linear models and support vector machines. Discriminative models are a well-known technique in many fields of machine learning and pattern recognition and the image distortion model has recently been shown to b...

Accurate measurement of wood volume is a very important task at each stage of woodworking process beginning with estimation of volume of cut trees and finishing with determining the volume of resulting product. In most cases, current technology of measurement is based on inexact manual procedures and gives rather rough data. To introduce a new measurement technology in woodworking industry 3D i...