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Detection of image orientation with mathematical morphology and orientation-adaptive image processing for antialiasing

Systems and Computers in Japan, 1998
We propose a new method of detecting image orientations by using mathematical morphology, a type of nonlinear processing. In the new method, an opening filter with a one-dimensional structure along each orientation axis detects image orientations after detection of oriented edges in the images.
Masahide Naemura   +5 more
openaire   +2 more sources

Kansei-Oriented Image Retrieval

2001
In the design of multimedia database system, one of the important issues is how to deal with kansei of human beings. A kansei-oriented image retrieval has been proposed in this paper. Human kansei includes two aspects: common kansei and individual kansei. Our approach also consists of common kansei retrieval and individual kansei retrieval.
Shangfei Wang   +3 more
openaire   +1 more source

Context-Oriented Image Retrieval

2005
In order to help address problems of information overload in digital imagery task domains, we have developed an interactive approach to the capture and reuse of image context information. Our framework models different aspects of the relationship between images and the domain tasks that they support by monitoring the interactive manipulation and ...
Dympna O'Sullivan   +3 more
openaire   +2 more sources

Document image orientation based on both text and image

SPIE Proceedings, 2012
This paper investigated the problem of orientation detection for document images with Chinese characters. These images may be in four orientations: right side up, up-side down, 90° and 270° rotated counterclockwise. First, we presented the structure of text-recognition-based orientation detection algorithm.
Yuejia Sun   +4 more
openaire   +1 more source

Research-oriented image registry for multimodal image integration

Medical Informatics, 1998
To provide multimodal biomedical images automatically, we constructed the research-oriented image registry, Data Delivery System (DDS). DDS was constructed on the campus local area network. Machines which generate images (imagers: DSA, ultrasound, PET, MRI, SPECT and CT) were connected to the campus LAN. Once a patient is registered, all his images are
M, Tanaka   +7 more
openaire   +2 more sources

Orientation imaging of microstructures

Proceedings, annual meeting, Electron Microscopy Society of America, 1994
The complexity of microstructures characteristic of polycrystalline materials presents the serious investigator with many challenges. The materials engineer hopes to associate the important technological properties of these materials with specific (quantifiable) attributes of the microstructure; however, microscopy presents an overwhelming myriad of ...
openaire   +1 more source

Orientation and Misorientation Imaging

2013
As mentioned in the previous chapter, the purpose of the CIP method (computer-integrated polarization microscopy) is to perform three basic tasks:
Renée Heilbronner, Steve Barrett
openaire   +1 more source

Computer recognition of chest image orientation

Proceedings. 11th IEEE Symposium on Computer-Based Medical Systems (Cat. No.98CB36237), 2002
A review console displaying digital radiographs should automatically display chest images in their proper orientation to save radiologists' time. To accomplish this feat, the authors have developed a simple, rapid algorithm that can be implemented in hardware. First, the view of the radiograph is determined.
Michael G. Evanoff, Kevin M. McNeill
openaire   +2 more sources

An Algorithm for the Automatic Estimation of Image Orientation

2012
The paper presents a new method for the determination of an image orientation -- the distinction between portrait- and landscape-oriented images. The algorithm can be applied to photographs taken outdoors. The approach is based on the use of a subpart of an image containing the sky.
Mariusz Borawski, Dariusz Frejlichowski
openaire   +1 more source

Automatic image orientation determination with natural image statistics

Proceedings of the 13th annual ACM international conference on Multimedia, 2005
In this paper, we propose a new method for automatically determining image orientations. This method is based on a set of natural image statistics collected from a multi-scale multi-orientation image decomposition (e.g., wavelets). From these statistics, a two-stage hierarchal classification with multiple binary SVM classifiers is employed to determine
openaire   +1 more source

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