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.,…
The Capacity of Wireless CSMA/CA Networks Abstract? The Capacity of Wireless CSMA/CA Networks. a poor understanding of the interactions among transmitters < Final Year Projects 2016 > wireless networks using carrier sense multiple access with collision avoidance (CSMA/CA) have been commonly stigmatized as unpredictable in nature. Even elementary questions regarding the throughput limitations of these…
THE IMPORTANCE OF TRADE MARKETING ON MANAGEMENT Abstract? THE IMPORTANCE OF TRADE MARKETING ON MANAGEMENT. Bulk commodity electronic trading market with a large amount of turnover, low barriers to entry, an uneven distribution of geographical boundaries and still immature laws and regulations, brings a certain amount of financial risks to market transactions and makes the…
The Integrated Surface Drought Index (ISDI) as an Indicator for Agricultural Drought Monitoring: Theory, Validation, and Application in Abstract?Based on the concept of the new drought index called Vegetation Drought Response Index (VegDRI) using data-mining technology, an Integrated Surface Drought Index (ISDI) was established in this study. ISDI improved the original model, adding remote sensed…
The LUT-SR Family of Uniform Random Number Generators for FPGA Architectures Abstract-The LUT-SR Family of Uniform Random Number Generators for FPGA Architectures. Field-programmable gate array (FPGA) optimized random number generators (RNGs) are more resource-efficient than software-optimized RNGs because they can take advantage of bitwise operations and FPGA-specific features. However, it is difficult to concisely describe…
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