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Showing 1 to 5 of 5 for “"Fusion image"”.

  1. Multi-Modal Data Fusion, Image Segmentation, and Object Identification using Unsupervised Machine Learning: Conception, Validation, Applications, and a Basis for Multi-Modal Object Detection and Tracking

    … efficacy of methodologies for for generic data fusion, image segmentation, and object identification on multi-modal, remotely sensed data.</p> <p>In Chapter 1, methodologies, background, and the overall framework is discussed. In Chapter 2, we evaluate the efficacy of the methodologies …

    chapman Repository record for Multi-Modal Data Fusion, Image Segmentation, and Object Identification using Unsupervised Machine Learning: Conception, Validation, Applications, and a Basis for Multi-Modal Object Detection and Tracking (opens in a new tab)

  2. A novel automated approach of multi-modality retinal image registration and fusion

    Biomedical image registration and fusion are usually scene dependent, and require intensive computational effort. A novel automated approach of feature-based control point detection and area-based registration and fusion of retinal images has been successfully designed and developed. The new …

    lsu-thes Repository record for A novel automated approach of multi-modality retinal image registration and fusion (opens in a new tab)

  3. An optimization-based approach to image fusion using structural similarity

    … structural similarity index measure Mean. Image fusion involves combining multiple images to preserve their most desirable characteristics. The objective is to create a single enhanced image that can be utilized for various applications, including human visual perception, object detection, …

    uoit Repository record for An optimization-based approach to image fusion using structural similarity (opens in a new tab)

  4. Automated classification of malignant melanoma based on detection of atypical pigment network in dermoscopy images of skin lesions

    … identification of melanoma from dermoscopic images of skin lesions is the most efficient method in early diagnosis. An automated melanoma identification system must include multiple steps, involving lesion segmentation, feature extraction, feature combination and classification. In this …

    must-thes Repository record for Automated classification of malignant melanoma based on detection of atypical pigment network in dermoscopy images of skin lesions (opens in a new tab)

  5. FORMULATION OF DETECTION STRATEGIES IN IMAGES

    … related problems involving detection in multiple images. The first problem focuses on the accurate detection of runways by fusing Synthetic Vision System (SVS) and Enhanced Vision System (EVS) images. A novel procedure is developed to accurately detect runways and horizons and also enhance runway …

    siu-theses Repository record for FORMULATION OF DETECTION STRATEGIES IN IMAGES (opens in a new tab)