It is in the interest of any gas company to maintain the value of its pipelines and to protect them effectively against damage caused by third parties. As a result of global progress in high-resolution remote sensing and image processing technology, it is now possible to design natural gas pipeline monitoring systems with remote sensors and context-oriented image processing software. Recent dev...

In this paper we present a new framework for detection of dynamic obstacles in tire unstructured outdoor road environment by purposively irttegmting binocular color image sequence. In our system, color image segmentation, stereo obstacle detection, visual egomotion estirnation,and moving object analysis, are all built-in task-oriented modules and hence are eficient and robust. Most of these fun...

With the availability of multisensor, multitemporal, multiresolution and multifrequency image data from operational Earth observation satellites the fusion of digital image data has become a valuable tool in remote sensing image evaluation. Digital image fusion is a relatively new research ® eld at the leading edge of available technology. It forms a rapidly developing area of research in remot...

In this paper, different approaches are discussed for medical image segmentation. These are based on thresholding, learning, modeling and automatic fuzzy method. Segmentation techniques, discussed under these approaches are used in different applications. In identification of brain lesions, vessel lumen segmentation and histopathology cancer image segmentation. Further used in tissue segmentati...

In this paper, a brand new method utilizing the service-oriented software architecture and the rising technology of Grid computing with available software Globus Toolkit 4 is introduced. The traditional centralized remote sensing image processing model under stand-alone computer environment is changed into a model in Grid environment by decomposing the system into different services which enabl...

In principle, the orange skin surface defect can be successfully detected with the use of a set of relatively simple image processing techniques. To assess the technical possibilities of classifying relatively small surfaces the Histogram of Oriented Gradients (HOG) and the Support Vector Machine were used for two sets of about 400 surface patches in each. Color, grey and binarized images were ...

JPEG2000 is a recently standardized image compression algorithm that provides significant enhancements over the existing JPEG standard. JPEG2000 differs from widely used compression standards in that it relies on discrete wavelet transform (DWT) and uses embedded bit plane coding of the wavelet coefficients [1]. Due to the bit-oriented processing techniques used in the standard, full implementa...

Introduction Object-oriented approaches to remotely sensed image processing have become increasingly popular with the growing amount of high-resolution satellite and airborne imagery. Several studies have shown that segmentation techniques can help to extract spatial objects from an image. Uncertainty, however, will be present in any segmented image and can have a significant effect on further ...

Applying selective emphasis to photographs is a critical aspect of the visual design process. There is evidence from psychophysics that contrast in texture is a key contributor to saliency in an image, yet unlike other low-level perceptual features, texture cannot be directly modified with existing image-processing software. We present a post-processing technique to subtly change the salience o...

J-DSP is a java-based object-oriented programming environment that was developed at Arizona State University for use in the undergraduate DSP class [1]. In this paper, we describe innovative software extensions on J-DSP to accommodate on-line laboratories for speech processing, image processing, and communications systems. Significant modifications in the object-oriented GUI of J-DSP that enabl...