Sökning: "Image segmentation"

Visar resultat 21 - 25 av 210 avhandlingar innehållade orden Image segmentation.

1. 21. FINGERPRINT IMAGE ENHANCEMENT, SEGMENTATION AND MINUTIAE DETECTION

   Författare :Josef Ström Bartunek; Ingvar Claesson; Blekinge Tekniska Högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; adaptive fingerprint image enhancement; fingerprint segmentation; gray-scale image normalization; minutiae features; neural networks; frequency analysis; kurtosis;

   Sammanfattning : Prior to 1960's, the fingerprint analysis was carried out manually by human experts and for forensic purposes only. Automated fingerprint identification systems (AFIS) have been developed during the last 50 years. The success of AFIS resulted in that its use expanded beyond forensic applications and became common also in civilian applications. LÄS MER

3. 22. Advanced Machine Learning Methods for Oncological Image Analysis

   Författare :Mehdi Astaraki; Chunliang Wang; Örjan Smedby; Iuliana Toma-Dasu; Bjoern Menze; KTH; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical Image Analysis; Machine Learning; Deep Learning; Survival Analysis; Early Response Assessment; Tumor Classification; Tumor Segmentation; Medicinsk teknologi; Medical Technology;

   Sammanfattning : Cancer is a major public health problem, accounting for an estimated 10 million deaths worldwide in 2020 alone. Rapid advances in the field of image acquisition and hardware development over the past three decades have resulted in the development of modern medical imaging modalities that can capture high-resolution anatomical, physiological, functional, and metabolic quantitative information from cancerous organs. LÄS MER

4. 23. Design Issues in VLSI Implementation of Image Processing Hardware Accelerators - Methodology and Implementation

   Författare :Hongtu Jiang; Institutionen för elektro- och informationsteknik; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signal processing; Bildbehandling; image processing; Imaging; Teknik; Technological sciences; Controller Synthesis; Circuit design; FPGA; Image convolution; Image processing; Video segmentation; Signalbehandling; Electronics; Elektronik;

   Sammanfattning : With the increasing capacity in today's hardware system design enabled by technology scaling, image processing algorithms with substantially more complexity can be implemented in a single chip with real-time performance. Combined with the demand for low power consumption or larger resolution seen in many applications such as mobile devices and HDTV, new design methodologies and hardware architectures are constantly called for to bridge the gap between designers productivity and what the technology could offer. LÄS MER

5. 24. Digital Image Analysis of Cells : Applications in 2D, 3D and Time

   Författare :Amalka Pinidiyaarachchi; Carolina Wählby; Ewert Bengtsson; Arvid Lundervold; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Digital image analysis; microscopy; fluorescent staining; watershed segmentation; sub-cellular localization; point-like signals; wavelets; cell confluence; cytology; color spaces.; Image analysis; Bildanalys;

   Sammanfattning : Light microscopes are essential research tools in biology and medicine. Cell and tissue staining methods have improved immensely over the years and microscopes are now equipped with digital image acquisition capabilities. The image data produced require development of specialized analysis methods. LÄS MER

7. 25. Unsupervised Segmentation of Head Tissues from Multi-Modal Magnetic Resonance Images: With Application to EEG Source Localization and Stroke Detection

   Författare :Mahmood Qaiser; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; stroke; EEG source localization; Image segmentation; reconstruction; magnetic resonance; brain;

   Sammanfattning : The automated segmentation or labeling of individual tissues in magnetic resonance (MR) images of the human head is an essential first step in several biomedical applications. The resulting segmentation yields a patient-specific labeling of individual tissues that can be used to quantitatively characterize these tissues (e.g. LÄS MER