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 Learning Applied to Breast Density Segmentation and Mammo graphic Risk Scoring Abstract?Mammo graphic risk scoring has commonly been automated by extracting a set of handcrafted features from mammograms, and relating the responses directly or indirectly to breast cancer risk. We present a method that learns a feature hierarchy from unlabeled data. < final...
Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR) Abstract? Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR). Features selected by a supervised / unsupervised technique often include redundant or correlated features. While use of correlated features may result in an increase in the design and decision making cost, removing redundancy completely can make the system vulnerable to…
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 segmentation? classification? cervical cell image Abstract?Unsupervised segmentation and classification of cervical cell image. The Pap smear test is a manual screening procedure that is used to detect precancerous changes in cervical cells based on color and shape properties of their nuclei and cytoplasms. Automating < Final Year Projects > this procedure is still an…
Unsupervised traffic classification using flow statistical properties and IP packet payload. The researchers have started looking for Internet traffic recognition techniques that are independent of `well known’ TCP or UDP port numbers or interpreting the contents of packet payloads. Newer approaches classify traffic by recognizing statistical patterns in externally observable attributes of the traffic (such…
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…
Use of elliptic curve cryptography for multimedia encryption Abstract?Use of elliptic curve cryptography for multimedia encryption. The unique characteristics of the elliptic curve cryptography (ECC) such as the small key size, fast computations and bandwidth saving make its use attractive for multimedia encryption. In this study, the ECC is used to perform encryption along with…
User-Defined Privacy Grid System for Continuous Location-Based Services Abstract? User-Defined Privacy Grid System for Continuous Location-Based Services. Location-based services < Final Year Projects 2016 > require users to continuously report their location to a potentially untrusted serverto obtain services based on their location, which can expose them to privacy risks. Unfortunately, existing privacy-preserving techniques for…
Using Ant Colony System to Consolidate Multiple Web Applications in a Cloud Environment Abstract? Using Ant Colony System to Consolidate Multiple Web Applications in a Cloud Environment. Infrastructure as a Service < Final Year Projects 2016 > IaaS clouds provide virtual machines(VMs) under a pay-per-use business model, which can be used to create a dynamically…
Using Crowdsourcing to Provide QoS for Mobile Cloud Computing Abstract?Using Crowdsourcing to Provide QoS for Mobile Cloud Computing.Quality of cloud service QoS < Final Year Projects 2016 > is one of the crucial factors for the success of cloud providers in mobile cloud computing. Context-awareness is a popular method for automatic awareness of the mobile…
