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  • Motion detection algorithm using wavelet transform

    Creator:
    Lee, Jeongmin
    Abstract:
    This thesis presents an algorithm that estimates motion in image sequence using wavelet transform. The motion detection is performed under unfavorable conditions of background movement, change of brightness, and noise. The algorithm is tolerant to brightness changes, noise, and small movement in the background. The false alarm rate of motion...
    Resource Type:
    Masters Thesis
    Full Text:
    define the edge well, as do derivatives in image processing. Near the object edge in the image, there

  • Restoration of quadratically distorted images

    Creator:
    Kwon, Tae-hwan
    Abstract:
    The problem of the restoration of quadratically distorted images is considered in this investigation, based upon the fact that images formed by partially coherent illuminations are related quadratically to the amplitude of the object. Two of the most important problems in image restoration are: 1) determining the degradation characteristics of...
    Resource Type:
    Dissertation
    Full Text:
    most important means of acquiring perceptions of the outside world. Image processing is closely tied

  • Active Contour Models

    Creator:
    Lee, Taein
    Abstract:
    Active contour models have been widely applied to image segmentation and analysis. It has been successfully used in contour detection for object recognition, computer vision, computer graphics, and biomedical image processing such as X-ray, MRI and Ultrasound images. The energy-minimizing active contour models or snakes were developed by Kass, Witkin...
    Resource Type:
    Capstone Project
    Full Text:
    biomedical image processing such as X-ray, MRI and Ultrasound images. The energy-minimizing active

  • Comparison of the VARDIG algorithm on two parallel processors

    Creator:
    Roof, Becky Jane
    Abstract:
    The specific objectives of this project are to compare the Sequent and the transputer to determine the speed of both and find out which is easiest for programming in parallel. The results are graphs showing relative and real time speedup versus number of processors and conclusions based on those graphs....
    Resource Type:
    Masters Thesis
    Full Text:
    these problems. Image processing is the specific problem chosen and parallel processing using the

  • Multi-variate morphological filtering with applications to color image processing

    Creator:
    Eo, Jin-woo
    Abstract:
    Mathematical morphology, developed in the early 1960's for single-component signals, has been applied to a number of image processing applications. This investigation examines the systematic extension of mathematical morphology to multi-variate signals. Two approaches are considered. The first approach, the extension of the theory of single-component morphological filters to multi-variate...
    Resource Type:
    Dissertation
    Full Text:
    to color image processing AN ABSTRACT OF THE THESIS OF Jin-Woo Eo for the degree of Doctor of

  • Object Tracking-by-Segmentation in Videos

    Creator:
    Chen, Sheng
    Abstract:
    This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of one or more targets in the image sequence. This is a very challenging task as algorithms need to deal with problems such as appearance variations,...
    Resource Type:
    Dissertation
    Full Text:
    one or more targets in the image sequence. This is a very challenging task as algorithms need to deal

  • Benthic Habitat Mapping: eCognition Rule Set

    Creator:
    O’Neil-Dunne, Jarlath P. M., Parrish, Christopher E., and Dijkstra, Jennifer A.
    Abstract:
    This publication consists of a rule set for benthic habitat classification implemented in eCognition (Trimble Navigation Limited). The details of the procedure are described in Parrish et al., 2016: http://www.jcronline.org/doi/abs/10.2112/SI76-017. The input to the classification consists of high-resolution true color orthophotos, seafloor DEMs from topobathymetric lidar, and gridded lidar reflectance...
    Resource Type:
    Dataset

  • Object detection in biological images using a search-based framework

    Creator:
    Lam, Michael
    Abstract:
    This thesis addresses a basic problem in computer vision, that of semantic labeling of images. Our work is aimed at object detection in biological images for evolutionary biology research. In particular, our goal is to detect nematocysts in Scanning Electron Microscope (SEM) images. This biological domain presents challenges for existing...
    Resource Type:
    Masters Thesis
    Full Text:
    approaches developed to address other domains (e.g. natural scenes). An image may show more than one

  • Incorporating labeled features into image classification using generalized expectation

    Creator:
    Moore, Travis
    Abstract:
    Image classification is a difficult problem, often requiring large training sets to get satisfactory results. However this is a task that humans perform very well, and incorporating user feedback into these learning algorithms could help reduce the dependency on large amounts of labeled training data. This process has already been...
    Resource Type:
    Masters Thesis
    Full Text:
    Features into Image Classification using Generalized Expectation Abstract approved: Weng-Keen Wong

  • Content-based color image retrieval

    Creator:
    Varanguien de Villepin, Audrey
    Abstract:
    A fully automated method for content-based color image retrieval is developed to extract color and shape content of an image. A color segmentation algorithm based on the k-mean clustering algorithm is used and a saturated distance is proposed to discriminate between two color points in the HSV color space. The...
    Resource Type:
    Masters Thesis
    Full Text:
    Content-based color image retrieval AN ABSTRACT OF THE