Sökning: "Gray Level Co-occurrence Matrix"
Hittade 5 uppsatser innehållade orden Gray Level Co-occurrence Matrix.
1. Classification of Drill Core Textures for Process Simulation in Geometallurgy : Aitik Mine, Sweden
Master-uppsats, Luleå tekniska universitet/Mineralteknik och metallurgiSammanfattning : This thesis study employs textural classification techniques applied to four different data groups: (1) visible light photography, (2) high-resolution drill core line scan imaging (3) scanning electron microscopy backscattered electron (SEM-BSE) images, and (4) 3D data from X-ray microtomography (μXCT). Eleven textural classes from Aitik ores were identified and characterized. LÄS MER
2. Investigation of the prognostic value of CT and PET-based radiomic image features in oropharyngeal squamous cell carcinoma
Master-uppsats, Lunds universitet/Medicinsk strålningsfysik, Lund; Lunds universitet/SjukhusfysikerutbildningenSammanfattning : Background Medical data in the form of radiographic routine scans is steadily accumulating. The analysis of such data through automated quantitative methods is believed to produce new information which would allow for more personalization of therapy. The present thesis investigated the use of such methods in head and neck cancer. LÄS MER
3. Photometric Methods for Autonomous Tree Species Classification and NIR Quality Inspection
Master-uppsats, KTH/Maskinkonstruktion (Inst.)Sammanfattning : In this paper the brief overview of methods available for individual tree stems quality evaluation and tree species classification has been performed. The use of Near Infrared photometry based on conifer’s canopy reflectance measurement in near infrared range of spectrum has been evaluated for the use in autonomous forest harvesting. LÄS MER
4. Texture Feature Analysis of Breast Lesions in Automated 3D Breast Ultrasound
Master-uppsats, Institutionen för informationsteknologiSammanfattning : This thesis investigated a variety of texture features performances on classifying and detecting breast lesions in automated 3D breast ultrasound (ABUS) images with computer-aided diagnosis and detection system. Regions detected by the computer-aided detection system could be categorized into benign and malignant classes, which are supposed to have different texture features. LÄS MER
5. 3D co-occurrence matrix based texture analysis applied to cervical cancer screening
Master-uppsats, Institutionen för informationsteknologiSammanfattning : Cervical cancer is the second most common cancer in women worldwide, approximately 471,000 new cases are diagnosed each year. In 2005, there were about 500,000 cases of cervical cancer and 260,000 cases caused death in worldwide [1]. LÄS MER