Showing 13–24 of 717 results
A Completed Modeling of Local Binary Pattern Operator for Texture Classification Abstract? A completed modeling of the LBP operator is proposed and an associated completed LBP (CLBP) scheme is developed for texture classification. A local region is represented by its center pixel and a local difference sign-magnitude transform (LDSMT). The center pixels represent the image…
A Completed Modeling of Local Binary Pattern Operator for Texture Classification Abstract? A completed modeling of the LBP operator is proposed and an associated completed LBP (CLBP) scheme is developed for texture classification. A local region is represented by its center pixel and a local difference sign-magnitude transform < Final Year Projects 2016 > LDSMT….
A Contrast Adjustment Thresholding Method for Surface Defect Detection Based on Mesoscopy Abstract? Titanium-coated surfaces are prone to tiny defects such as very small cracks, which are not easily observable by the naked eye or optical microscopy. In this study, two new thresholding methods, namely contrast-adjusted Otsu?s method and contrast-adjusted median-based Otsu?s method, are proposed…
A Decomposition Framework for Image Denoising Algorithms Abstract? A Decomposition Framework for Image Denoising Algorithms. we consider an image decomposition model that provides a novel framework for image denoising. The model computes the components of the image to be processed in a moving frame that encodes its local geometry < Final Year Projects 2016 >…
A Discriminative Model of Motion and Cross Ratio for View-Invariant Action Recognition Abstract? Action recognition is very important for many applications such as video surveillance, human-computer interaction, and so on; view-invariant action recognition is hot and difficult as well in this field. In this paper, a new discriminative model is proposed for video-based view-invariant…
A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method Abstract? A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database…
A Feature Learning and Object Recognition Framework for Underwater Fish Images Abstract? Live fish recognition is one of the most crucial elements of fisheries survey applications where the vast amount of data is rapidly acquired. Different from general scenarios, challenges to underwater image recognition are posted by poor image quality, uncontrolled objects and environment, and…
A Feature Learning and Object Recognition Framework for Underwater Fish Images Abstract-Live fish recognition is one of the most crucial elements of fisheries survey applications where vast amount of data are rapidly acquired. Different from general scenarios, challenges to underwater image recognition are posted by poor image quality, uncontrolled objects and environment, as well as…
A First Public Research Collection of High Resolution Latent Fingerprint Time Series for Short- and Long-Term Print Age Estimation Abstract– The creation of publicly available image databases for the signal processing community is a very time-consuming, yet immensely valuable task, enabling scientific progress by providing the opportunity of an objective comparison and reproduction of results….
A Fuzzy Inference System Combined with Wavelet Transform for Breast Mass Classification Abstract? a combination of the Fast Wavelet Transform (FWT) and Adaptive Neuro-fuzzy Inference System (ANFIS) methods. The goal is classification of breast masses as benign or malignant by applying< Final Year Projects > this method consecutively to the extracted features of the…
A Generative Model for Concurrent Image Retrieval and ROI Segmentation Abstract?A Generative Model for Concurrent Image Retrieval and ROI Segmentation. This paper proposes a probabilistic generative model that concurrently tackles the problems of image retrieval and region-of-interest (ROI) segmentation. Specifically, the proposed model takes into account several properties of the matching process between two objects…
A generative probabilistic model and discriminative extensions for brain lesion segmentation ? with application to tumor and stroke Abstract? We introduce a generative probabilistic model for segmentation of brain lesions in multi-dimensional images that generalizes the EM segmenter, a common approach for modelling brain images using Gaussian mixtures and a probabilistic tissue atlas that employs…
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