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An Evaluation of Image Feature Detectors Based on Spatial Density and Temporal Robustness in Microsurgical Image Processing

التفاصيل البيبلوغرافية
العنوان: An Evaluation of Image Feature Detectors Based on Spatial Density and Temporal Robustness in Microsurgical Image Processing
المؤلفون: Sieler Konstantin, Naber Ady, Nahm Werner
المصدر: Current Directions in Biomedical Engineering, Vol 5, Iss 1, Pp 273-276 (2019)
بيانات النشر: De Gruyter, 2019.
سنة النشر: 2019
المجموعة: LCC:Medicine
مصطلحات موضوعية: feature detection, kaze, surf, sift, harris, mser, mineigen, brisk, neurovascular, spatial, temporal, Medicine
الوصف: Optical image processing is part of many applications used for brain surgeries. Microscope camera, or patient movement, like brain-movement through the pulse or a change in the liquor, can cause the image processing to fail. One option to compensate movement is feature detection and spatial allocation. This allocation is based on image features. The frame wise matched features are used to calculate the transformation matrix. The goal of this project was to evaluate different feature detectors based on spatial density and temporal robustness to reveal the most appropriate feature. The feature detectors included corner-, and blob-detectors and were applied on nine videos. These videos were taken during brain surgery with surgical microscopes and include the RGB channels. The evaluation showed that each detector detected up to 10 features for nine frames. The feature detector KAZE resulted in being the best feature detector in both density and robustness.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2364-5504
2019-0069
Relation: https://doaj.org/toc/2364-5504
DOI: 10.1515/cdbme-2019-0069
URL الوصول: https://doaj.org/article/9a927c0ad2114d86b26e07d6e3e484a6
رقم الأكسشن: edsdoj.9a927c0ad2114d86b26e07d6e3e484a6
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23645504
20190069
DOI:10.1515/cdbme-2019-0069