Image segmentation
Color image segmentation using multispectral random field texture model & color content features
... to image segmentation is ...the image. These features are extracted from the image using a sampling window that slides over the entire image, and are used in conjunction with an ...
6
A Markov random field image segmentation model for lizard spots
... Diploglossus millepunctatus spots do not have the same intensity values throughout the whole subject. This issue is most critical when high amounts of light irradiate the lizard and mask the spots in the illuminated ...
9
Superpixel-based roughness measure for multispectral satellite image segmentation
... for image segmentation is a known hard problem, especially when there is not a ground truth to ...a segmentation (as can be seen in the seminal work of Haralick et ...a segmentation, as only a ...
26
Higher-order regularization and morphological techniques for image segmentation
... Image segmentation is an important field in computer vision and one of its most active research areas, with applications in image understanding, ob- ject detection, face recognition, video ...
128
SAR Image segmentation based on multifractal features
... Image segmentation is aimed at partitioning an image into different disjoint regions or ...in segmentation tasks, due to the specific noise contamination associated with the imaging process of ...
6
Lower semicontinuity of the affine total variation used in image segmentation
... of image analysis motivated its division in a series of simpler and independent ...and image segmentation seem to be fundamentaL ...an image amounts to subdivide the image domain into ...
20
Image segmentation with boosted multi-class classifiers
... EM image segmentation al- gorithm is selecting a set of features that describe the underlying ...smoothed image, gradient mag- nitude, Laplacian of Gaussian, Hessian eigenvalues and structure tensor ...
108
Cómputo evolutivo como enfoque en la descripción del contenido de la imagen aplicado a la segmentación y el reconocimiento de objetosEvolutionary computation for image content description applied to image segmentation and object recognition
... the image content from real or designed scenarios is a challenge and an attractive task for computer ...the image content for two particular high level tasks such as: image segmentation and ...
126
Image segmentation with the growing neural gas
... is image segmentation. Given an image with the color configurations of RGB, and depending on some parameters that shall further on be explained in the article, how many “clusters” or “segments” can ...
59
An image segmentation based on a genetic algorithm for determining soil coverage by crop residues
... an image from a random selection of different pixels of that image whereby the classification algorithm uses artificially generated images simulating the residue of small and differently sized wooden ...
13
TítuloTopological active model optimization by means of evolutionary methods for image segmentation
... the image which contains points on each ...accurate segmentation of the vasculature of the retina followed by the determination of spatial features describing the density, average thickness, and average ...
176
Hand Image Segmentation by means of Gaussian Multiscale Aggregation for biometric applications
... a segmentation algorithm able to provide suitable solutions in terms of precision for hand biometric recognition, considering a wide range of backgrounds like carpets, glass, grass, mud, pavement, plastic, tiles ...
7
MBIS: Multivariate Bayesian Image Segmentation Tool
... correctly aligning the different modalities with respect to the reference T1w image. We used ANTS (Advanced Normalization Tools [8]) to register rigidly the T2w and MT images to the space of the T1w. We visually ...
22
SAR image segmentation using B-Spline deformable contours
... Synthetic Aperture Radar (SAR) images are corrupted by a signal-dependent non-additive noise called speckle. Many statistical models have been proposed to describe this noise, aiming at the development of specialized ...
8
Study of the effect of blurriness in image acquisition for Hand Biometrics in Mobile Devices
... age segmentation and invariant feature extraction. Regarding segmentation, there exist many previous work on multiscale aggregation approaches applied to segmentation [12], being specifically applied ...
7
On-line MRI sequences for the evaluation of apple internal quality.
... automated image segmentation and feature ...between image replicates which confirm the MRI dynamic procedure to be robust and prepared of industrial ...
6
A Multi-Level Thresholding Method based on Histogram Derivatives for Accurate Brain MRI Segmentation
... Thresholding [11][12] is perhaps the simplest approach used for image segmentation. It allows separating the objects from the background in an image by using a threshold value to transform one ...
8
Desarrollo y comparación de diversos mapas de probabilidades en 3D del cáncer de próstata a partir de imágenes de histología
... There are several approaches for reconstructing and displaying 3D objects from serial cross sections [56], [57], [58]. The major difference of these approaches lies in the inter- polation method employed. The two main ...
56
Kluwer – Handbook of Biomedical Image Analysis Vol.2
... the image sequence has constant morphologic structures of the imaged organs but the regional voxel intensity varies from one frame to another, depending on the local tissue response to the administered contrast ...
831
Atlas-based segmentation of multiple sclerosis lesions in magnetic resonance imaging
... work via an EM algorithm [64] or the Fuzzy C-Means (FCM) [29] algorithm. The EM algorithm computes the probability of each entry of the data set belonging to a certain distribution. It then estimates the hidden ...
236
