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Titlebook: Image Processing and Communications Challenges 4; Ryszard S. Chora? Conference proceedings 2013 Springer-Verlag Berlin Heidelberg 2013 Com

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樓主: microbe
41#
發(fā)表于 2025-3-28 14:45:49 | 只看該作者
42#
發(fā)表于 2025-3-28 22:40:37 | 只看該作者
Image Registration Tuning for DCE-MRI Breast Imagingignments between consecutive image series. Their analysis is then problematic. The problem can be solved by application of image registration procedure. A system for DCE-MRI breast image registration, using B-spline transformation has been created. The paper presents work on its testing and tuning, to improve both performance and accuracy.
43#
發(fā)表于 2025-3-29 00:48:05 | 只看該作者
Recognition of Hand Drawn FlowchartsA concept of FCE, a system for recognizing and understanding of freehand drawn on-line flow charts on desktop computer and mobile devices is presented. The first experiments with the FCE system and the planes for future are also described.
44#
發(fā)表于 2025-3-29 03:29:23 | 只看該作者
Camera Pose Estimation from Sequence of Calibrated Imagess are known) which allows to decrease a number of required pairs of corresponding points compared to uncalibrated case. Our algorithm can be used as a first stage in a structure from motion stereo reconstruction system.
45#
發(fā)表于 2025-3-29 07:59:19 | 只看該作者
46#
發(fā)表于 2025-3-29 11:59:23 | 只看該作者
978-3-642-32383-6Springer-Verlag Berlin Heidelberg 2013
47#
發(fā)表于 2025-3-29 19:00:42 | 只看該作者
Image Processing and Communications Challenges 4978-3-642-32384-3Series ISSN 2194-5357 Series E-ISSN 2194-5365
48#
發(fā)表于 2025-3-29 21:13:48 | 只看該作者
Texture Based Firearm Striations Analysis for Forensics Image RetrievalIn this article, we propose a Content-Based Image Retrieval method for some identification in forensic fields. An expert simply places the image as a query on a system, which retrieves the most similar images in the database. Then feature vectors are extracted to compare the query image to another image in the database.
49#
發(fā)表于 2025-3-30 02:41:48 | 只看該作者
No-Reference Image Quality Assessment for Iris BiometricsNo-reference image quality assessment (NRIQA) methods estimate image quality degradations without any information about the “perfect-quality” reference image. In this paper, we propose an NRIQA algorithm based on the idea of comparison two blurred variants of the original image to be estimated.
50#
發(fā)表于 2025-3-30 07:13:15 | 只看該作者
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