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 “"segmentation process"”.
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The Segmentation Process and its Influence on Structure in the Malheur Me Bat Masses of Obrecht and Josquin
… examines in detail the various aspects of the segmentation process as applied by Obrecht and Josquin to the chanson Malheur me bat, especially the effect of this process on the structure of each composer's respective mass. Although musical aspects such as cadences and mode have varying degrees …
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Modeling Surfaces from Volume Data Using Nonparallel Contours
… is done through a time-consuming and error-prone process in which an experienced scientist or physician marks a series of parallel contours that outline the structures of interest. Recent advances in surface reconstruction algorithms have led to methods for reconstructing surfaces from nonparallel …
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Nonparametric statistical methods for image segmentation and shape analysis
Image segmentation, the process of decomposing an image into meaningful regions, is a fundamental problem in image processing and computer vision. Recently, image segmentation techniques based on active contour models with level set implementation have received considerable attention. The objective …
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Kinematic Synthesis of Planar, Shape-Changing Rigid Body Mechanisms for Design Profiles with Significant Differences in Arc Length
… define the problem. This dissertation presents a process to approximate several design profiles of significantly different arc lengths with rigid bodies connected by revolute and prismatic joints. This process is referred to as segmentation, and the initial step is the conversion of the design …
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Drivable region detection for autonomous robots applied to South African underground mining
… 3D results. The approach involves standard image-processing techniques, such as colour and texture feature extraction and region segmentation for underground image classification. A probabilistic method based on the local entropy was employed. The entropy is measured within a fixed window on each …
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Adaptive video segmentation
… technique depends on the efficiency of the video segmentation algorithm which is a fundamental step in video indexing. Video segmentation is a process of splitting up a video sequence into its constituent scenes. This work focuses on the problem of video segmentation. A content-based approach has …
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Sequential, Simultaneous and Optimal Approaches to Segmentation: Theory and Application
Market segmentation has been an important area for both academicians and practitioners in the field of Marketing. Most of the focus of the past research in the area has been on identifying bases for segmentation. Further steps in the segmentation process like evaluating the economics of …
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Evaluating the implementation of new services models in the financial advisory industry : a statistical data mining and system dynamics approach
… and a disciplined client and prospect contract process. This thesis quantitatively and qualitatively evaluates business impact of this program, by developing and applying two analytical frameworks. We first present and develop a System Dynamics framework for interpretation of qualitative …
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Machine Learning for Tract Segmentation in dMRI data
… the same functional streamlines into one tract segmentation. This work is extremely helpful for neuro surgery or diagnosing brain disease. However, the segmentation process is difficult and time consuming due to the large number of streamlines (about 3 × 10 5 in a normal brain) and the …
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Deep Learning of Semantic Image Labels on HDR Imagery in a Maritime Environment
… study creates labels for a multi-class semantic segmentation process, and performs well on water and horizon identification in the littoral zone. Additionally, this work contributes proof that water can be reasonably identified using HDR imagery with semantic networks, which is useful for …
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Object detection and activity recognition in digital image and video libraries
… based query systems based on manual annotation process are impractical for today's large libraries requiring an efficient information retrieval system. For this purpose, a hierarchical information retrieval system is proposed where shape, color and motion characteristics of objects of interest …
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Superpixel Segmentation Systems: Design and Analysis
Image segmentation is a partitioning of an image into distinct groups of pixels (“regions”), each region preferably spatially connected, where each region ideally corresponds to an object or other semantically meaningful scene component. In this dissertation we discuss supervised evaluation of …
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A kinematic analysis of sign language
… midpoints), which can serve as anchors in the segmentation process. These segmented locations and movements can be combined with handshape and wrist orientation to identify likely signs based on the kinematic database developed at NJIT.
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Automated Adaptive Data Center Generation For Meshless Methods
… is closely tied up to the point distribution process and, hence, incorporated into the automated sequence. This also allows for the optimization of the RBF free parameter on a local basis to achieve a desired level of accuracy in the expansion. In addition, an optimized auto-segmentation …
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Use of Computer Vision to Track Thin Body Motion with the Application of Tracking Passion Plant Vine Tendrils
… An evaluation was done of clustering based color segmentation with a focus on K-means, feature / texture segmenta- tion utilizing Scale Invariant Feature Transforms (SIFT), and temporal based segmentation using Gaussian Mixture Model Background Subtraction to segment out the tendril in each video …
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Soft computing y aprendizaje automático para la segmentación de imágenes con modelos deformables
Among computer vision processes, Image Segmentation (IS) is a key task. It subdivides an image into its constituent regions or objects sharing certain visual characteristics. Among IS techniques, Deformable Models (DMs) are promising approaches that tackle the problem by exploiting constraints …
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Factors influencing fundraising success at church-related colleges and universities
… data analysis, interpretation, and coding process utilizing grounded theory techniques. This technique also produced thick contextual descriptions of the sample institutions.</p> <p>The study found that a unique set of strategic management themes lead to fundraising success. These included …
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Detection of breast cancer microcalcifications in digitized mammograms. Developing segmentation and classification techniques for the processing of MIAS database mammograms based on the Wavelet Decomposition Transform and Support Vector Machines
… and abnormal cases. The first stage is the Segmentation Process, which applies thresholding filters to separate the abnormal objects (foreground) from the breast tissue (background). Moreover, this study has been carried out on mammogram images and mainly on cropped ROI images from different …
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Detection of breast cancer microcalcifications in digitized mammograms. Developing segmentation and classification techniques for the processing of MIAS database mammograms based on the Wavelet Decomposition Transform and Support Vector Machines.
… and abnormal cases. The first stage is the Segmentation Process, which applies thresholding filters to separate the abnormal objects (foreground) from the breast tissue (background). Moreover, this study has been carried out on mammogram images and mainly on cropped ROI images from different …
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A machine vision-based approach to measuring the size distribution of rocks on a conveyor belt
… detection is achieved using a watershed-based segmentation process. This process involves image pre-filtering with edge preserving filters at various degrees of filtering. The output of each filtering stage is retained and marker-driven watersheds are applied on each output resulting to traces …
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