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Showing 1 to 9 of 9 for “"Raster Images"”.

  1. Vectorization of Raster Images Using B-Spline Surfaces

    A system has been developed for converting raster images into vector images. Raster images are made of pixels, while vector images are made of smoother shapes. The image is first segmented, and the segments are layered. The boundary of each segment is approximated with a periodic B-Spline curve. …

    byu Repository record for Vectorization of Raster Images Using B-Spline Surfaces (opens in a new tab)

  2. Evaluating the accuracy of line thinning algorithms after processing scanned line data

    … layer removal process are evaluated. Seven raster images are thinned using these methods. The raster results are compared based on the number of pixels deleted and on the number of retained pixels that fall either on or off the medial axis of the original matrix. The four algorithms that …

    vt Repository record for Evaluating the accuracy of line thinning algorithms after processing scanned line data (opens in a new tab)

  3. An automated matching algorithm for dual orthogonal fluoroscopy

    … require the segmentation of hundreds of raster images, often by hand, and registration of three-dimensional models with two-dimensional contours. Automation of these processes would greatly accelerate research in this field. This research presents an automated method for recovering the …

    mit Repository record for An automated matching algorithm for dual orthogonal fluoroscopy (opens in a new tab)

  4. Visualization for Solving Non-image Problems and Saliency Mapping

    … the efficiency of a new algorithm to convert non-images data into raster images by visualizing data using heatmap in the collocated paired coordinates (CPC). These images are called the CPC-R images and the algorithm that produces them is called the CPC-R algorithm. Powerful deep learning methods …

    central-wash Repository record for Visualization for Solving Non-image Problems and Saliency Mapping (opens in a new tab)

  5. Tracking Human Movement Indoors Using Terrestrial Lidar

    … and OpenCV techniques analyzed projected 2D raster images, while Percept utilized real-time 3D point clouds to detect and track human movement. The deep learning approach, specifically the YOLOv5 model, demonstrated high accuracy with an F1 score of 0.879. In contrast, OpenCV methods, while …

    vt Repository record for Tracking Human Movement Indoors Using Terrestrial Lidar (opens in a new tab)

  6. Image editing and interaction tools for visual expression

    … extremely common in our daily life. However, images are difficult to edit and interact with. From a user's perspective, it is important to interact freely with the images on his/her smartphone or ipad. In this thesis we develop several image editing and interaction systems with this idea in …

    uiuc Repository record for Image editing and interaction tools for visual expression (opens in a new tab)

  7. High-dimensional Data in Scientific Visualization: Representation, Fusion and Difference

    … sensing in software-defined radio networks, raster images in remote sensing, pattern recognition in point cloud, airflow distribution in aerodynamics, galaxy catalogs in astrophysics and protein membrane interaction in molecular dynamics. Each case required different computing power, ranging …

    vt Repository record for High-dimensional Data in Scientific Visualization: Representation, Fusion and Difference (opens in a new tab)

  8. Kontūro atpažinimo metodų taikymas skersinei chromatinei aberacijai šalinti akies dugno vaizduose ir kelio dangos defektams atpažinti /

    … and lateral chromatic aberration in eye fundus images. The recognition of object contours in raster images is relevant in many practical fields: astronomy, meteorology, forensics, warfare, industry, engineering, medicine, archeology, robotics, and many others. Different methods for recognizing …

    vilnius Repository record for Kontūro atpažinimo metodų taikymas skersinei chromatinei aberacijai šalinti akies dugno vaizduose ir kelio dangos defektams atpažinti / (opens in a new tab)

  9. Mapping desertification: towards an approach for mapping regional land degradation in drylands

    … SMA bare ground estimate were used to create raster images. These images, along with images for the PLSr bare ground and perennial plant cover estimates, were converted into images representing membership values between zero and one for the habitat condition archetype. These three images were …

    cape-town Repository record for Mapping desertification: towards an approach for mapping regional land degradation in drylands (opens in a new tab)