Tumor Recognition in Wireless Capsule Endoscopy Images Using Textural Features and SVM-Based Feature Selection Abstract? Tumor in digestive tract is a common disease and wireless capsule endoscopy (WCE) is a relatively new technology to examine diseases for digestive tract especially for small intestine. This paper addresses the problem of automatic recognition of tumor < Final…
Two cooperative ant colonies for feature selection using fuzzy models Abstract? The available set of potential features in real-world databases is sometimes very large,< Final Year Projects > and it can be necessary to find a small subset for classification purposes. One of the most important techniques in data pre-processing for classification is feature selection….
Ultrasound Image Denoising using a Combination of Bilateral Filtering and Stationary Wavelet Transform Abstract?Abstract Medical image degradation has a significant impact on image quality, and thus affects human interpretation and the accuracy of computer-assisted diagnostic techniques.Unfortunately, Ultrasound images are mainly degraded by an intrinsic noise called speckle. Therefore, despekle filtering is a critical preprocessing step…
Underwater Image Restoration based on Image Blurriness and Light Absorption Abstract?Abstract Underwater images often suffer from color distortion and low contrast because light is scattered and absorbed when traveling through water. Such images with different color tones can be shot in various lighting conditions, making restoration and enhancement difficult. We propose a depth estimation method…
Unprivileged Black-Box Detection of User-Space Keyloggers Abstract?Software keyloggers are a fast growing class of invasive software often used to harvest confidential information. One of the main reasons for this rapid growth is the possibility for unprivileged programs running in user space to eavesdrop and record all the keystrokes typed by the users of a system.<...
Unraveling the Effect of Textured Contact Lenses on Iris Recognition Abstract?Unraveling the Effect of Textured Contact Lenses on Iris Recognition. The presence of a contact lens, particularly a textured cosmetic lens, poses a challenge to iris recognition as it obfuscates the natural iris patterns. The main contribution of this paper is to present an in-depth…
Unsupervised Colour Image Segmentation using Dual-tree Complex Wavelet Transform Abstract?a novel image segmentation technique for noisy colour images, in which the heavy-tailed characteristics of the image are modelled by Cauchy distributions. First, the RGB colour bands of the noisy image are decomposed into multiresolution representations using the dual-tree complex wavelet transform.< Final Year Project >…
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification Abstract? The use of single layer and deep convolutional networks for remote sensing data analysis. Direct application to multi- and hyper-spectral imagery of supervised (shallow or deep) convolutional networks is very challenging given the high input data dimensionality and the relatively small amount of available labelled…
Unsupervised Multi-Spectral Satellite Image Segmentation Combining Modi fied Mean-Shift and a New Minimum Spanning Tree Based Clustering Technique Abstract?Unsupervised Multi-Spectral Satellite Image Segmentation Combining Modi fied Mean-Shift and a New Minimum Spanning Tree Based Clustering Technique. An unsupervised object based segmentation, < Final Year Projects > combining a modified mean-shift (MS) and a novel minimum…
Unsupervised SAR Image Change Detection Based on SIFT Key points and Region Information Abstract?This letter presents a new unsupervised distribution-free change detection method for synthetic aperture radar (SAR) images based on scale-invariant feature transform (SIFT) keypoints and region information. Since the SIFT can detect blob-like structures in an image and be insensitive to noise, we…
Unsupervised Visual Hashing with Semantic Assistant for Content-based Image Retrieval Abstract?Abstract As an emerging technology to support scalable content-based image retrieval (CBIR), hashing has been recently received great attention and became a very active research domain. In this study, we propose a novel unsupervised visual hashing approach called semantic-assisted visual hashing (SAVH).Distinguished from semi-supervised and…
Unusual Event Detection in Low Resolution Video for enhancing ATM security Abstract? In real world applications, tracking target in low resolution video is a challenging task because there is loss of discriminative detail in the visual appearance of moving object. The existing methods are mostly based on the enhancement of LR (low resolution) video by…