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 20 of 39 for “"Texture features"”.
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Using Texture Features To Perform Depth Estimation
… noise, etc. An algorithm is proposed which uses texture features obtained using Laws Energy Masks and multi-block approach to perform correspondence matching between stereo pair of images with high baseline. This is followed by forming disparity maps to get the relative depth of pixels in the …
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Surface-based segmentation of volume data using texture features
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
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Improving Identification of Area Targets by Integrated Analysis of Hyperspectral Data and Extracted Texture Features
… of integrating spectral data and extracted texture features on classification accuracy. Four separate spectral ranges (hundreds of spectral bands total) were used from the VNIR-SWIR portion of the electromagnetic spectrum. Haralick texture features (contrast, entropy, and correlation) were …
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Human iris categorization using artificial neural networks
… have been working on predicting ethnicity from texture features of iris images using other methods. This thesis is one of the the first to present a solution of iris image categorization using artificial neural networks, specifically for human iris images with discernible and complicated …
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Vector Field Manipulations in Three-Dimensional Time-Varying Flow Data Compression and Image/video Editing
… generation to achieve a morph that preserves texture detail and orientation near the dragged silhouette, synthesized using the original image as an anisotropic texture. We introduce a new distortion to patch-based texture synthesis that aligns texture features with image features. A dense …
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Development of hay yield monitoring systems
… variables selected from candidate VIs and texture features, to predict hay biomass. Model performance was evaluated using measures like R2 and RMSE, and models including VIs and texture features provided R2 values from 0.31 to 0.68. Significant findings included correlations between VIs and …
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Seafloor habitat characterization, classification, and maps for the lower Piscataqua River estuary
… to observed seafloor characteristics. Texture analysis, using local Fourier histogram (LFH) texture features, was applied to multibeam bathymetry data in unsupervised- and supervised-classification modes. Unsupervised classification of bathymetry using texture features produced …
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Texture-based Deep Neural Network for Histopathology Cancer Whole Slide Image (WSI) Classification
… In this paper, we propose a novel cancer texture-based deep neural network (CAT-Net) that learns scalable texture features from histopathological WSIs. The innovation of CAT-Net is twofold: (1) capturing invariant spatial patterns by dilated convolutional layers and (2) Reducing model …
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Post-crystallisation treatment and characterisation of polycrystalline silicon thin-film solar cells on glass
… measurements reveal that the p-n junction of our textured samples is disrupted and non-conformal due to the texture features.
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An automated system for the classification and segmentation of brain tumours in MRI images based on the modified grey level co-occurrence matrix
… of brain tumours in MRI scans based on texture feature extraction. The research investigates an appropriate technique for feature extraction and development of a three-dimensional segmentation method. This was achieved by the investigation and integration of several image processing …
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Segmentation of textured images
… images into distinct homogeneous regions by texture properties. The principle of the approaches to texture segmentation adopted in this thesis is mapping a textured image into a grey level image so that conventional segmentation techniques by intensity can be applied. Three novel approaches …
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Fuzzy inference systems for iris biometrics to reduce search time in large databases
… functions that helped us compare how each iris' texture features were clustered. By combining subtractive clustering with the adaptive neuro-fuzzy inference system, we were able to map each user to a singular value that identified with a specific ethnicity based on their iris characteristic …
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Autonomous Navigation, Perception and Probabilistic Fire Location for an Intelligent Firefighting Robot
… using Bayesian classifiers to identify fire features using thermal images. This algorithm was able to discriminate fire and smoke from thermal reflections and other hot objects, allowing the prediction of a more robust heading for the robot. To develop this algorithm, appropriate motion and …
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Parallel computing on geostatistical data using CUDA
… between serial and parallel computation on four texture features, including average local variance (ALV), angular second moment (ASM), entropy, and inverse difference moment (IDM). The later three features (ASM, Entropy and IDM) are features obtained using Gray Level Coocurrence Matrices (GLCM). …
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Vision based methodology for evaluation of meat quality characteristics : A thesis submitted in partial fulfilment of the requirements for the Degree of Doctor of Philosophy at Lincoln University
… quality parameters include colour, tenderness, texture, flavour and odour, water holding capacity and juiciness. The quantification of meat quality is a challenge of major importance in the meat industry. The ability to meet consumer expectations by providing quality products and maintaining the …
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A Combined Method for Vegetation Classification Based on Visible Bands from UAV Images: A Case Study for Invasive Wild Parsnip Plants
… software. Three vegetation indices and three texture features are calculated and the first two significant features are added to the mosaicked images. The Random Forest algorithm with relevant variables is used as the classifier to distinguish wild parsnip plants from other vegetation types. …
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Perceptual texture similarity estimation
… thesis evaluates the ability of computational features to estimate perceptual texture similarity. In the first part of this thesis, we conducted two evaluation experiments on the ability of 51 computational feature sets to estimate perceptual texture similarity using two differ-ent evaluation …
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Microscopic and spectroscopic characterization of fuel cell catalyst layer materials and interfaces
… including surface roughness and surface texture features, as well as elemental composition (ionomer content relative to Pt) at the top surface, subsurface, and in the bulk were correlated to fuel cell performance. Chapter 4 discusses spray coated gas diffusion electrodes fabricated with …
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New wavelet based space-frequency analysis methods applied to the characterisation of 3-dimensional engineering surface textures.
… make progress solving real problems of surface texture characterisation. A measurement apparatus like a microscope gives a representation of a surface textures that can be seen as an image. This is actually an image representing the relief of the surface texture. From the image processing point …
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Assessment and Diagnosis of Human Colorectal and Ovarian Cancer using Optical Imaging and Computer-aided Diagnosis
… have designed a feature extraction method using texture features and computer-vision related features to characterize different types of colorectal tissues. We first ranked these features according to their importance, then trained two classifiers: one for normal vs. abnormal, and the other one …
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