“A picture is worth a thousand words,” but finding the right thousand words to describe a picture has no simple adage. Camera phones and other mobile devices can easily capture a scene, but processing the image to inform its contents and describe the scene requires efficient object recognition and identification. In an effort to augment reality in a potential virtual museum guide, this document...

The brain appears to adhere to two principles of functional organization; junctional segregation and functional intryration. The integration within and between functionally specialized areas is mediated by functional or ejectiue connectioity. The characterization of this sort of connectivity is an important theme in many areas of neuroscience. This article presents one approach that has been us...

This project is to recognize an input image through the database which are learned from a set of training images. The first thing we have done is to extract only the main image. This step requires an adaptive threshold to decide whether the selected region is a painting we want or not. The morphological operation follows the filtering process. The edges of the painting extracted in the source i...

Large-scale farming of agricultural crops requires on-time detection of diseases for pest management. Hyperspectral remote sensing data taken from low-altitude flights usually have high spectral and spatial resolutions, which can be very useful in detecting stress in green vegetation. In this study, we used late blight in tomatoes to illustrate the capability of applying hyperspectral remote se...

Land subsidence caused by excessive groundwater pumping in Central Valley, California, is a major issue that has several negative impacts such as reduced aquifer storage and damaged infrastructures which, turn, produce an economic loss due to the high reliance on crop production. This why it of utmost importance routinely monitor assess surface deformation occurring. Two main goals this paper a...

Non-mass enhancing lesions (NME) constitute a diagnostic challenge in dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) of the breast. Computer Aided Diagnosis (CAD) systems provide physicians with advanced tools for analysis, assessment and evaluation that have a significant impact on the diagnostic performance. Here, we propose a new approach for the specific problem of NME detec...

In the past decade functional neuroimaging has been extremely successful in establishing functional segregation as a principle of organisation in the human brain. Functional segregation is usually inferred by the presence of activation foci in change or statistical parametric maps. The nature of the functional specialisation is then attributed to the sensorimotor or cognitive process that has b...

We propose the novel approach of dynamic affine-invariant shape-appearance model (Aff-SAM) and employ it for handshape classification and sign recognition in sign language (SL) videos. AffSAM offers a compact and descriptive representation of hand configurations as well as regularized model-fitting, assisting hand tracking and extracting handshape features. We construct SA images representing t...

This thesis presents a novel way of integrating shape prior information into a level set based segmentation scheme. It utilizes the eigenimages of the signed-distance functions of the training shapes and confines the segmentation to statistically allowable shapes while minimizing the Chan-Vese functional via gradient descent. Implemented under the level set framework, the resulting algorithm ca...

There are various image filtering approaches in computer vision and image processing that are effective for some types of noise, but they invariably make certain assumptions about the properties of the signal and/or noise which lack the generality for diverse image noise reduction. This study describes a novel generalised guided image filtering method with the reference image generated by signa...