Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 17 of 17 for “"Feature Recognition"”.
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Feature recognition in OCR text
This thesis investigates the recognition and extraction of special word sequences, representing concepts, from OCR text. Unlike general index terms, concepts can consist of one or more terms that combined, have higher retrieval value than the terms alone (i.e. acronyms, proper nouns, phrases). An …
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Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification
… framework for detection and classification of features in environments abundant with error-inducing noise. The approach takes advantage of Bayesian correction and classification in three distinct stages. The corrective scheme described here extracts useful but highly stochastic features from a …
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A knowledge based manufacturing advisor for CAD
… the research has been the development of a novel feature recognition approach to allow moulding features to be recognised from a CAD model. Existing feature recognition techniques are not appropriate for moulded parts and a new feature recognition approach has been developed that uses a …
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A complete geometric and topologic file structure
… databases needs to be converted to higher-level feature information required by the CAM systems. Many feature recognition algorithms have been developed to extract geometric features from different CAD representation schemes. However, the algorithms are CAD modeler dependent. This research …
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Sonic Analysis for Machine Learning: Multi-Layer Perceptron Training using Spectrograms
… system would be designed to engage in stylistic feature transfer between existing musical pieces, and eventually to compose original music either autonomously or in collaboration with human musicians and composers. In this thesis, construction of the analysis and feature recognition systems …
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Face Verification with Veridical and Caricatured Images using Prominent Attributes
Caricatures, with their exaggerated features, offer a surprisingly efficient means for individuals to recognize each other compared to veridical (real) images. However, it is still a difficult task in machine learning to match veridical images to caricatures. This is due to the poor quality of …
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Evaluation of color-based machine vision for lumber processing in furniture rough mills
… systems that can improve the accuracy of feature recognition in lumber.
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Machining feature-based system for supporting step-compliant milling process
… process planning which requires machining features enriched data. The aim of this research is developing a new methodology to translate the EXPRESS language model of CAD STEP data into a new product data representation and enriched in machining features which is more beneficial to machining …
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Feature Extraction Workflows for Urban Mobile-Terrestrial LiDAR Data
… (GEOBIA) for the development of automated feature extraction. A LiDAR sensor-centric perspective during the data acquisition phase is used to organize data for the user and to transform the data into a 2D reference frame for object-oriented image analysis of MTL data. Organizing the display …
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The role of the magnocellular system in implicit cognition
… processing, such as reading or visual object recognition. The question this research addressed concerns visual perceptual processes which are not easily controllable and which occur without conscious effort. The role of the M system was investigated in word recognition, object recognition and …
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Shape and Texture in Quartz Sand Grains: A Quantitative Assessment
… identify sedimentologically meaningful surface features. However, ambiguity and controversy about feature recognition has questioned the method's credibility. Recent attention has turned to new methods of texture and shape analysis using computer image processing techniques. This approach was …
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Multi-Class 3D Segmentation of Progressive Damage in Advanced Composites using Deep Learning
… studies indicate a feasible pathway for 3D feature recognition (with ≈39% improvement in performance over 2D segmentation of sandstone dataset) and 2D multi-class segmentation containing composite fiber break and matrix crack data, termed as multi-damage multi-class segmentation. Future work …
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Single Cell Force Platforms to Link Force-ECM Coupling in Pathophysiology
… learning, CFM automates the process of fiber feature recognition to measure forces as cells change shapes during migration and differentiate to osteogenic and adipogenic lineages. The force platforms are applied to investigate (i) the bioenergetic contributors fueling cellular migration and a …
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Multimedia Content-Based Indexing and Recognition in Digital Libraries
"Recognition of digital media is more prevalent in today’s computer culture than ever before. The advent of low cost storage has created a seemingly infinite amount of metadata on the internet, as well as on local machines throughout the world. It is more important than ever to have the capability …
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Machine Learning Applications in Structural Analysis and Design
… study for identifying the vibrational features is necessary to design the high-performance tire by considering the geometry, material, and operation conditions. Typically, the vibrational characteristics can be obtained from the modal test or numerical analysis. These identified modal …