Text Detection and Recognition on Traffic Panels from Street-Level Imagery Using Visual Appearance Abstract? Text Detection and Recognition on Traffic Panels from Street-Level Imagery Using Visual Appearance. Traffic sign detection and recognition has been thoroughly studied for a long time. However, traffic panel detection and recognition still remains a challenge in computer vision due to…
Text to Speech (Android App) Abstract-The main aim of this project is to make an android app which convert text into speech. This app will takes user input using the GUI and converts the typed text into speech. Once the mobile media volume was set, the user typed text will be readout loudly. Any length…
Text-Attentional Convolutional Neural Network for Scene Text Detection Abstract-Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature computed globally from a whole image component (patch), where the cluttered background information may dominate true text features in the deep representation. This leads to…
Text-Video Completion Using Structure Repair and Texture Propagation Abstract?Text-Video Completion Using Structure Repair and Texture Propagation. Today, more superimposed text is embedded within videos. Usually some text is unnecessary. Thus, one requires an approach to remove the text and complete the video. However, few conventional approaches complete the video well due to the large-sized text,…
Texture Analysis Based Segmentation and Classification of Oral Cancer Lesions in Color Images Using ANN Abstract-Features derived from Grey Level Co-occurrence Matrix (GLCM) and Grey Level Run-Length (GLRL) matrix are widely used for image characterization based on texture analysis. In this paper, we propose the application of suitably selected texture discriminating features for classification of…
TEXTURE BASED IMAGE SEGMENTATION USING GLCM Abstract?TEXTURE BASED IMAGE SEGMENTATION USING GLCM, Brain tumor segmentation is an importance process in surgical and treatment planning in medicine. There are various intensity based techniques which have been proposed to segment homogeneous tumors on magnetic resonance images (MRI). Those still fail to segment homogeneous tumor against similar background,…
Texture Classification Using Dense Micro-Block Difference Abstract?This paper is devoted to the problem of texture classification. Motivated by recent advancements in the field of compressive sensing and keypoints descriptors, a set of novel features called dense micro-block difference (DMD) is proposed. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code…
Texture Classification Using Rotation- and Scale-Invariant Gabor Texture Features Abstract? This letter introduces a novel approach to rotation and scale invariant texture classification. The proposed approach is based on Gabor filters that have the capability to collapse the filter responses according to the scale and orientation of the textures. These characteristics are exploited to…
Texture Enhanced Histogram Equalization Using TV-L1 Image Decomposition Abstract?Histogram transformation defines a class of image processing operations that are widely applied in the implementation of data normalization algorithms. In this paper, we present a new variational approach for image enhancement that is constructed to alleviate the intensity saturation effects that are introduced by standard contrast…
The Adaptive Clustering Method for the Long Tail Problem of Recommender Systems Abstract? the long tail problem of recommender systems when many items in the long tail have only a few ratings, thus making it hard to use them in recommender systems. < Final Year Project >The approach presented in this paper clusters items according…
The Beauty of the Commons: Optimal Load Sharing by Base Station Hopping in Wireless Sensor Networks Abstract? The Beauty of the Commons: Optimal Load Sharing by Base Station Hopping in Wireless Sensor Networks. In wireless sensor networks < WSNs >, the base station (BS) is a critical sensor node whose failure causes severe data losses….
The Bitonic Filter: Linear Filtering in an Edge-Preserving Morphological Framework Abstract? A new filter is presented which has better edge and detail preserving properties than a median, noise reduction capability similar to a Gaussian, and is applicable to many signal and noise types. It is built on a definition of signal as bitonic , i.e.,…
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A Low-Power High-Speed Accuracy-Controllable Approximate Multiplier Design 
Text Detection and Recognition in Imagery: A Survey 
The Value of Cooperation: Minimizing User Costs in Multi-broker Mobile Cloud Computing Networks 
An Efficient VLSI Architecture for Data Encryption Standard and its FPGA Implementation 
Combating Data Leakage Trojans in Commercial and ASIC Applications With Time-Division Multiplexing and Random Encoding 
Enhancing Heart-Beat-Based Security for mHealth Applications 
Miniaturized Dual-Band and Dual-Polarized Antenna for MBAN Applications 
Data Mining for Patient Friendly Apnea Detection 
DDoS Attack Detection using Machine Learning Techniques in Cloud Computing Environments 
Prediction of Heart Disease Using Machine Learning Algorithms 
Relevance Feature Discovery for Text Mining 
Crowdsourcing based Description of Urban Emergency Events using Social Media Big Data 
The Value of Cooperation: Minimizing User Costs in Multi-broker Mobile Cloud Computing Network 
A Key-Policy Attribute-Based Temporary Keyword Search Scheme for Secure Cloud Storage