A new approach for signature region of interest pre-processing was presented. It used new auto cropping preparation on the basis of the image content, where the intensity value of pixel is the source of cropping. This approach provides both the possibility of improving the performance of security systems based on signature images, and also the ability to use only the region of interest of the u...

As the number of currently active space missions increases, so does competition for Deep Space Network (DSN) resources. Even given unbounded DSN time, power and weight constraints onboard the spacecraft limit the maximum possible data transmission rate. These factors highlight a critical need for very effective data compression schemes. Images tend to be the most bandwidth-intensive data, so im...

The basic goal of region of interest (ROI) based compression for medical image is to enhance the compression efficiency for transmission and storage.Main goal of Region of interest(ROI) compression is to compressROI with supreme quality as compared to other region called Background. For an example, while compressing medical image the diagnostically important region should be compressed with bet...

Fingerprint Verification is the most reliable and feasible methods of person identification. The only problem with functionality of Fingerprint Verification System is: it depends on the quality of image. The quality of fingerprint image affects by both environment and scanner’s-surface. The Fingerprint Minutiae-Matching is not possible until the quality of fingerprint image improve. The limitat...

Content Based Image Retrieval (CBIR) is browsing, searching and navigation of images from large image databases based on their visual content. CBIR has been an active area of research for more than a decade. Many CBIR systems have been developed; like QBIC [Flickner et al. (1995)], Simplicity [Wang et al. (2001)], and Blob world [Carson et al.(2002)]. A detailed survey of CBIR techniques can be...

This paper describes the functionality in the JPEG 2000 Part 1 standard, for encoding images with predefined regions of interest (ROI) of arbitrary shape. The method described is called the Maxshift method. This method is based on scaling of the wavelet coefficients after the wavelet transformation and quantization. By sufficiently scaling the wavelet coefficients used to reconstruct the ROI, a...

Driven by increasing concerns over automotive safety, the development of on-board automotive driver assistance systems to alert drivers about potential collisions with objects such as pedestrians or vehicles has become a huge area of research. The aim of this paper is to present a novel approach for the first processing stage in many of these types of systems. An algorithm is presented which us...

The over-complete case remains a difficult problem in the field of independent component analysis (ICA). In this article we combine a technique called “region of interest” (ROI) with a standard complete ICA. We show how to create a mask using ICA, then using the masked data for a second ICA. At the same time this method eliminates a commonly necessary model-based step in fMRI data analysis. We ...

In this paper we introduce the new configuration of the EUClueScanner model (EUCS100) that is designed for evaluating the impact of policy alternatives on the European territory at the high spatial resolution of 100 meters. The high resolution in combination with the vast extent of the model called for considerable reprogramming to optimize processing speed. In addition, the calibration of the ...

Image segmentation is the process of partitioning an image into a set of meaningful regions according to some criteria. Hierarchical segmentation has emerged as a major trend in this regard as it favors the emergence of important regions at different scales. On the other hand, many methods allow us to have prior information on the position of structures of interest in the images. In this paper,...