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...curvelet transform as time-frequency and multiresolution analysis tool is often used in the domain of image processing, especially
for image characteristic extraction. this paper proposes a novel ct image retrieval method which is combining curvelet transform
and dynamic fuzzy theory. firstly, the image was decomposed by curvelet transform...
Published in 2009.
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...it is superior to wavelet transform in image processing domain. this paper analyzes the characters of dsa medical image, and proposes a novel approach for dsa medical image fusion, which is using curvelet information entropy and dynamic fuzzy logic. firstly, the image was decomposed by curvelet transform to obtain the different level...
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...linear features are extracted by a curvelet transform from a speckle noise reduced image obtained by the polarimetric whitening...the effectiveness of the proposed method is demonstrated using simulated pol-sar data acquired from both emisar and convair-580 systems. index terms—curvelet transform, fuzzy detector, linear feature detection, polarimetric...
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...profiles, edges, and junctions in a tb skeletal representation. although the method has become quite popular, a major limitation of dta is...inter-modality reproducibility of the method has been examined using repeat ct and μct scans of distal tibia specimens. also, the method's ability to predict experimental...
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...this paper presents a novel segmentation tech- nique to extract cavity contours from ultrasound images. the problem is flrst discretized...modeled by the trajectory of a moving object. the motion of this moving object is assumed to be governed by a flnite set of dynamical models subject to uncertainty. candidate...
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...application of the registered atlas, novel methods were designed to estimate necessary parameters for fuzzy connectedness
(fc) segmentation. manual intervention...the automation degree of the method. this atlas-based
method was tested on abdominal ct images of chinese patients. experimental results...
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...mode decomposition (emd) and contourlet transform (ct), named the emd-ct decomposition. the emd-ct decomposition consists of three stages...the multidirection analysis stage. as a result, the proposed emd-ct shares high adaptivity of the emd while owning multidirection analysis of the ct. for image fusion, fusion rules are applied...
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...background: dynamic positron emission tomography studies produce a large amount of image data, from which clinically useful parametric information can be extracted...proposed, which can summarize in a single image the temporal properties of the entire image sequence according to a reference region. results: using our new cubed sum coefficient...
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...techniques along this direction are; image retrieval and image registration. image retrieval is the technique to find similar images from an image archive by their textual and...the establishment of correspondences between images or between image and physical space. characteristics of medical images differ significantly from other general-purpose images and hence require special treatment...
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...in research on content-based image retrieval. this has paved the way for a large number of new techniques and systems, and a growing interest in associated fields...in the adaptation of existing image retrieval techniques to build useful systems that can handle real-world data. we conclude with a study on the trends in...