scholarly journals Prior-based Hierarchical Segmentation Highlighting Structures of Interest

2019 ◽  
Vol 3 (1) ◽  
pp. 29-44
Author(s):  
Amin Fehri ◽  
Santiago Velasco-Forero ◽  
Fernand Meyer
Keyword(s):  
Image Segmentation ◽  
Prior Information ◽  
Spatial Information ◽  
Regions Of Interest ◽  
The Other ◽  
Segmentation Method ◽  
Hierarchical Segmentation ◽  
Other Hand ◽  
Major Trend

AbstractImage segmentation is the process of partitioning an image into a set of meaningful regions according to some criteria. Hierarchical segmentation has emerged as a major trend in this regard as it favors the emergence of important regions at different scales. On the other hand, many methods allow us to have prior information on the position of structures of interest in the images. In this paper, we present a versatile hierarchical segmentation method that takes into account any prior spatial information and outputs a hierarchical segmentation that emphasizes the contours or regions of interest while preserving the important structures in the image. Several applications are presented that illustrate the method versatility and efficiency.

Development of drawing abilities in a distinct population: Depiction of perceptual principles by three children with congenital total blindness

2003 ◽  
Vol 27 (3) ◽  
pp. 193-200 ◽  
Author(s):  
Amedeo D’Angiulli ◽  
Stefania Maggi
Keyword(s):  
Initial Phase ◽  
Spatial Information ◽  
Vantage Point ◽  
The Other ◽  
Distinct Population ◽  
Congenital Blindness ◽  
Other Hand ◽  
Blind Children ◽  
Total Blindness ◽  
The One

We studied the development of spontaneous tactile drawing in three 12-year-old children with congenital total blindness and with no previous drawing tuition. In a period of 9 months, from an initial phase in which they were taught to draw tangible straight and curve raised lines, the three blind children went on making spontaneous raised outlines representing edges, surfaces of objects, vantage point, and motion. The corpus of drawings produced by these children shows that several aspects of outline pictures can be implemented through touch. The perceptual principles represented in these drawings are comparable to those commonly found in sighted children. On the one hand, this convergence indicates similarities in the way vision and touch mediate the acquisition and the conceptualisation of spatial information from objects and the environment. On the other hand, it reflects the influence of cross-modal plasticity typically associated with early or congenital blindness. This study suggests that drawing development in general does not depend on learning pictorial conventions. Rather it seems driven by natural generativity based on children’s knowledge of space and perceptual principles.

Level Set Segmentation Method in Medical Image Segmentation Research and Application

2012 ◽  
Vol 157-158 ◽  
pp. 1012-1015 ◽  
Author(s):  
Yu Miao ◽  
Wei Li Shi
Keyword(s):  
Image Segmentation ◽  
White Matter ◽  
Level Set ◽  
Medical Image ◽  
Region Of Interest ◽  
Medical Image Segmentation ◽  
The Other ◽  
Segmentation Method ◽  
Level Set Segmentation ◽  
Mri Image

Medical image segmentation can be divided into two categories: one is the region of interest (ROI) identification; the other is the description of the integrity and the extraction of interest region. The emergence of the level set method greatly promoted the development of medical image segmentation. This paper studies three different level set segmentation algorithm to achieve the effective segmentation for brain gray matter and white matter of MRI image.

scholarly journals Image Segmentation for Review of Cerebral Apoplexy

2021 ◽  
Vol 38 (6) ◽  
pp. 1775-1782
Author(s):  
Na Jiang
Keyword(s):  
Feature Selection ◽  
Image Segmentation ◽  
Prior Information ◽  
Segmentation Method ◽  
Lesion Segmentation ◽  
Multiple Lesion ◽  
Rehabilitation Process ◽  
Imaging Tool ◽  
Key Techniques ◽  
Selection Of

Brain computed tomography (CT) provides a medical imaging tool for reviewing cerebral apoplexy. It is of strong clinical significance to study the key techniques for lesion segmentation and feature selection of cerebral apoplexy. Most of the previous research fail to fully utilized the other prior information, or apply to the changing feature analysis on multiple lesion images generated in the rehabilitation process. Therefore, this paper aims to develop an image segmentation method for review of cerebral apoplexy. Based on the correlation between image series, the authors proposed a segmentation method for CT images of cerebral apoplexy, and developed a way to extract and select the changing lesion features, which assists with the diagnosis of cerebral apoplexy rehabilitation. The image segmentation and feature selection results were obtained through experiments, revealing the effectiveness of our method.

scholarly journals Saliency-Aware Class-Agnostic Food Image Segmentation

2021 ◽  
Vol 2 (3) ◽  
pp. 1-17
Author(s):  
Sri Kalyan Yarlagadda ◽  
Daniel Mas Montserrat ◽  
David Güera ◽  
Carol J. Boushey ◽  
Deborah A. Kerr ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Prior Information ◽  
Dietary Assessment ◽  
Segmentation Method ◽  
Dietary Assessment Methods ◽  
Before And After ◽  
Dietary Study ◽  
Food Image ◽  
Food Images ◽  
Food Consumed

Advances in image-based dietary assessment methods have allowed nutrition professionals and researchers to improve the accuracy of dietary assessment, where images of food consumed are captured using smartphones or wearable devices. These images are then analyzed using computer vision methods to estimate energy and nutrition content of the foods. Food image segmentation, which determines the regions in an image where foods are located, plays an important role in this process. Current methods are data dependent and thus cannot generalize well for different food types. To address this problem, we propose a class-agnostic food image segmentation method. Our method uses a pair of eating scene images, one before starting eating and one after eating is completed. Using information from both the before and after eating images, we can segment food images by finding the salient missing objects without any prior information about the food class. We model a paradigm of top-down saliency that guides the attention of the human visual system based on a task to find the salient missing objects in a pair of images. Our method is validated on food images collected from a dietary study that showed promising results.

scholarly journals Efficient Algorithms for Hierarchical Graph-Based Segmentation Relying on the Felzenszwalb–Huttenlocher Dissimilarity

2019 ◽  
Vol 33 (11) ◽  
pp. 1940008 ◽  
Author(s):  
Edward Cayllahua Cahuina ◽  
Jean Cousty ◽  
Yukiko Kenmochi ◽  
Arnaldo de Albuquerque Araújo ◽  
Guillermo Cámara-Chávez ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Efficient Algorithm ◽  
Scale Space ◽  
Region Merging ◽  
Segmentation Method ◽  
Hierarchical Segmentation ◽  
Hierarchical Graph ◽  
Segmentation Algorithms ◽  
The Hierarchical Structure ◽  
Incremental Update

Hierarchical image segmentation provides a region-oriented scale-space, i.e. a set of image segmentations at different detail levels in which the segmentations at finer levels are nested with respect to those at coarser levels. However, most image segmentation algorithms, among which a graph-based image segmentation method relying on a region merging criterion was proposed by Felzenszwalb–Huttenlocher in 2004, do not lead to a hierarchy. In order to cope with a demand for hierarchical segmentation, Guimarães et al. proposed in 2012 a method for hierarchizing the popular Felzenszwalb–Huttenlocher method, without providing an algorithm to compute the proposed hierarchy. This paper is devoted to providing a series of algorithms to compute the result of this hierarchical graph-based image segmentation method efficiently, based mainly on two ideas: optimal dissimilarity measuring and incremental update of the hierarchical structure. Experiments show that, for an image of size 321 × 481 pixels, the most efficient algorithm produces the result in half a second whereas the most naive one requires more than 4 h.

Benefits from marker assisted selection with optimised contributions and prior information on the QTL effect

2002 ◽  
Vol 2002 ◽  
pp. 57-57
Author(s):  
B. Villanueva ◽  
R. Pong-Wong ◽  
J. A. Woolliams
Keyword(s):  
Genetic Markers ◽  
Genetic Gain ◽  
Marker Assisted Selection ◽  
Prior Information ◽  
The Other ◽  
Truncation Selection ◽  
Other Hand ◽  
Optimisation Methods

Studies investigating the value of Marker Assisted Selection (MAS) for increasing genetic gain have compared responses from MAS and conventional schemes obtained with standard truncation selection and have ignored rates of inbreeding, DF (e.g. Ruane and Colleau, 1995). On the other hand, research comparing schemes at the same ΔF using optimised selection (Villanueva et al. 1999) has assumed that the effect of the QTL is known without error. This study extends the optimisation methods to include selection on genetic markers rather than on the QTL itself.

scholarly journals PRESERVATIVE TREATMENT OF FENCE POSTS EVALUATION THROUGH PHOTOCOLORIMETRY SEGMENTATION PERFORMANCE

2016 ◽  
Vol 40 (4) ◽  
pp. 731-739 ◽  
Author(s):  
Walter Torezani Neto Boschetti ◽  
Diego Mariano Vieira ◽  
Jordão Cabral Moulin ◽  
Dercílio Junior Verly Lopes ◽  
Juarez Benigno Paes ◽  
...  
Keyword(s):  
Direct Contact ◽  
The Other ◽  
Segmentation Method ◽  
Active Ingredients ◽  
Preservative Treatment ◽  
Substitution Method ◽  
Method Performance ◽  
Other Hand ◽  
Segmentation Methods

ABSTRACT The research object was evaluating the quality of preserving treatment of Eucalyptus sp. fence posts by the sap substitution method and comparing the penetration through the traditional and photocolorimetry segmentation methods. The fence posts, 2,0 meters long and with a diameter between 8 and 12 cm, were exposed to 2, 3 and 4% concentrations of CCB based-product active ingredients for 10 days. The penetrations were analyzed using two methodologies, one by the Image Pro Plus 4.5 software, using photocolorimetry segmentation method performance, and by analyzing the product retention in four positions of the treated fence posts. The treatment submitted pieces attained low penetration and, thus, the retention values were less than the required for direct contact with the ground. On the other hand, the proposed photocolorimetry segmentation methodology was efficient and could be an alternative to determine a more precise and fast penetration.

Adaptive image segmentation method based on the fuzzy c-means with spatial information

2018 ◽  
Vol 12 (5) ◽  
pp. 785-792 ◽  
Author(s):  
Jia Zheng ◽  
Dinghua Zhang ◽  
Kuidong Huang ◽  
Yuanxi Sun
Keyword(s):  
Image Segmentation ◽  
Spatial Information ◽  
Segmentation Method ◽  
Fuzzy C Means

scholarly journals The Development of Modern Art in Mongolia: On the Example of Mongolian Modern Painting of the Late Twentieth and Early Twenty-First Centuries

2021 ◽  
Vol 3 (3) ◽  
pp. 15-19
Author(s):  
Selenge Tumur-ochir
Keyword(s):  
Modern Art ◽  
The Other ◽  
Art Galleries ◽  
Other Hand ◽  
The People ◽  
Early Twenty ◽  
Late Twentieth ◽  
Major Trend

Modern art in Mongolia has been developing since the last century. The art appeared as a result of artists’ ideas, expression of national mentality and other factors. As some researches said: “Mite of the abstract paintings were established in Hun states, because when this times, all of the people to the paint-ed effect of their mind on the rock of cave” on their tractate book. That says that the abstract paintings was established at that time, but according to other sources it was developed in 1960. For example, in 1968 Mongolian young painters orga-nized an exhibition named: the first exhibition of young painters. Then, in 1980 modern and contemporary arts started developing. The purpose of the study is to analyze the development and classification of modern art in the late twentieth and early twenty-first centuries, which are kept in art galleries. The study was con-ducted in the following steps: to study modern Mongolian art and to identify cur-rent trends in its evolution. The study classified 2,333 paintings. Consequently the next conclusions were drawn: abstractionism, post-impressionism, and im-pressionism were more developed in modern paintings created in 1990–2000. Modern paintings created in 2000–2009, on the other hand, were more developed in abstraction, fauvism, surrealism, and symbolism. This shows that modern Mongolian artists prefer abstract and symbolic paintings. Before 1990, there was a lot of realism, but since 1990, modernism has developed a lot and has become a major trend.

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