MULTIVARIATE MATHEMATICAL MORPHOLOGY FOR DCE-MRI IMAGE ANALYSIS IN ANGIOGENESIS STUDIES
نویسندگان
چکیده
منابع مشابه
Colour Mathematical Morphology For Neural Image Analysis
T his paper presents an algorithm for automatic neural image analysis in immunostained vertebrate retinas. We present a useful tool for cell quantification avoiding the losst of information of traditional binary techniques in automatic recognition of images. The application is based on the extension of the mathematical morphology to colour images. In qthe paper, we define the basics and more co...
متن کاملComplete lattice learning for multivariate mathematical morphology
The generalization of mathematical morphology to multivariate vector spaces is addressed in this paper. The proposed approach is fully unsupervised and consists in learning a complete lattice from an image as a nonlinear bijective mapping, interpreted in the form of a learned rank transformation together with an ordering of vectors. This unsupervised ordering of vectors relies on three steps: d...
متن کاملQuantitative Image Analysis with Mathematical Morphology
This papers deals with the analysis of shape and size of the debris particles obtained from wear experiments on polymers using image processing. Two analysis techniques that are very promising in this respect are the morphological pattern spectrum and the Fourier spectrum. They can be used to extract parameters that relate to particle size and shape. We experimentally compare different choices ...
متن کاملImage manifold revealing for breast lesion segmentation in DCE-MRI.
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used for breast lesion differentiation. Manual segmentation in DCE-MRI is difficult and open to viewer interpretation. In this paper, an automatic segmentation method based on image manifold revealing was introduced to overcome the problems of the currently used method. First, high dimensional datasets were constructed fro...
متن کاملOn lexicographical ordering in multivariate mathematical morphology
Since mathematical morphology is based on complete lattice theory, a vector ordering method becomes indispensable for its extension to multivariate images. Among the several approaches developed with this purpose, lexicographical orderings are by far the most frequent, as they possess certain desirable theoretical properties. However, their main drawback consists of the excessive priority attri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Image Analysis & Stereology
سال: 2014
ISSN: 1854-5165,1580-3139
DOI: 10.5566/ias.1109