A unique way in which content based image retrieval (CBIR) for remote sensing differs widely from traditional CBIR is the widespread occurrences of weak textures. The task of representing the weak textures becomes even more challenging especially if image properties like scale, illumination or the viewing geometry are not known. In this work, we have proposed the use of a new feature ‘texton hi...

Diagnostic imaging is invaluable. Magnetic Resonance Imaging (MRI), digital mammography, Computed Tomography (CT), and others ensure effective noninvasive mapping of a subject’s anatomy, and increased normal and diseased anatomy knowledge for medical research in addition to being a critical component in diagnosis and treatment. In this work various feature selection algorithms are investigated ...

This paper develops a new approach to band subset selection (BSS) for hyperspectral image classification (HSIC) which selects multiple bands simultaneously as a band subset, referred to as simultaneous multiple band selection (SMMBS), rather than one band at a time sequentially, referred to as sequential multiple band selection (SQMBS), as most traditional band selection methods do. In doing so...

Computer vision is a powerful tool for intelligent sensor development. However, noise in CCD cameras leads to significant radiometric distortions. Therefore, radiometric image correction is a critical operation, specially when physics-based models are applied for image processing, as is the case in many industrial applications. All known radiometric correction methods assume that noise characte...

Image is a work of art that describes or store visual perception. That has an exactly same appearance to subject – normally a physical object or a person. Therefore, images providing a representation of real time physical objects. Additionally, representation of 2 dimensional data and their patterns analysis is basic interest of the given paper. As a part of object recognition, the image and th...

It is well-known in image processing in general, and hence in image segmentation in particular, that computational cost increases rapidly with the number and dimensions of the images to be processed. Several fields, such as astronomy, remote sensing, and medical imaging, routinely use numerous very large images, which might also be 3D and/or captured at several frequency bands, all adding to th...

Adequate user authentication is a persistent problem, particularly with mobile devices such as Personal Digital Assistants (PDAs), which tend to be highly personal and at the fringes of an organization's influence. Yet these devices are being used increasingly in military and government agencies, hospitals, and other business settings, where they pose a risk to security and privacy, not only fr...

This paper presents a comparative study on five feature selection heuristics applied to a retinal image database called DRIVE. Features are chosen from a feature vector (encoding local information, but as well information from structures and shapes available in the image) constructed for each pixel in the field of view (FOV) of the image. After selecting the most discriminatory features, an Ada...

This paper attempts to give a recipe for selecting one of the popular image compression algorithms based on (a) Wavelet, (b) JPEG/DCT, (c) VQ, and (d) Fractal approaches. We review and discuss the advantages and disadvantages of these algorithms for compressing grayscale images, give an experimental comparison on four 256×256 commonly used images, Jet, Lenna, Mandrill, Peppers, and one 400×400 ...

This research presents a new color selection interface that facilitates query-by-color in Content-Based Image Retrieval (CBIR). Existing CBIR color selection interfaces, are being judged as non-intuitive and difficult to use. Our interface copes with these problems of usability. It is based on 11 color categories, used by all people, while thinking of and perceiving color. In addition, its usab...