Speed Comparison of Segmentation Evaluation Methods

2014 ◽  
pp. 113-122
Author(s):  
Stepan Srubar
Keyword(s):  
Evaluation Methods ◽  
Segmentation Evaluation

Image Segmentation Evaluation in this Century

2011 ◽  
pp. 1812-1817 ◽  
Author(s):  
Yu-Jin Zhang
Keyword(s):  
Image Segmentation ◽  
Video Segmentation ◽  
Empirical Evaluation ◽  
Evaluation Criteria ◽  
Evaluation Methods ◽  
Reference Image ◽  
Empirical Methods ◽  
Segmentation Evaluation ◽  
New Research ◽  
Image Segmentation Evaluation

Image segmentation consists of subdividing an image into its constituent parts and extracting those parts of interest (objects). Due to its importance in image analysis, many research works have been conducted for this process. After 40 years of development, a large number of image (and video) segmentation techniques have been proposed and utilized in various applications (Zhang, 2006). With many algorithms developed, some efforts have been spent also on their evaluation, and these efforts have resulted around 100 evaluation papers that can be found in literature for the last century. Several studies have been made in the past in attempt to characterize these existing evaluation methods (Zhang, 1993; Zhang, 1996; Zhang 2001). Segmentation evaluation methods can be classified into analytical methods and empirical methods (Zhang, 1996). The analysis methods treat the algorithms for segmentation directly by examining the principle of algorithms while the empirical methods judge the segmented image (according to predefined criteria or comparing to reference image) so as to indirectly assess the performance of algorithms. Empirical evaluation is practically more effective and usable than analysis evaluation (Zhang, 1996). Recent advancements for segmentation evaluation are mainly made by the development of empirical evaluation techniques. After providing a list of evaluation criteria and methods proposed in the last century as background, this article will provide a summary of the recent (in 21st century) research works for empirical evaluation of image segmentation. These new research works are classified into three groups: (1) those based on existing techniques, (2) those made with modifications of existing techniques, and (3) those that used dissimilar ideas than that of existing techniques. A comparison of these evaluation methods is made before going to the future trends and conclusion.

A Summary of Racent Progresses for Segmentation Evaluation

2006 ◽  
pp. 423-440 ◽  
Author(s):  
Yu-Jin Zhang
Keyword(s):  
Video Segmentation ◽  
Evaluation Methods ◽  
Performance Criteria ◽  
Future Directions ◽  
Segmentation Evaluation ◽  
Existing Problems ◽  
New Ideas ◽  
And Performance

This chapter provides a summary of the recent (especially since 2000) progress for the evaluation of image and video segmentation. It is seen that much more effort has been expended on this subject recently than several years ago. A number of works are based on previously proposed principles, and several works have made modifications to and improvements on previous techniques, still other works have presented a few new ideas. The generality and complexity of the evaluation methods and performance criteria used in these works have been thoroughly compared. As the research in this field is still on the rise, some existing problems and several future directions are also highlighted.

SenCity – Evaluating Users’ Experiences of Intelligent Lighting for Well-Being in Smart Cities

2018 ◽  
pp. 60-67
Author(s):  
Henrika Pihlajaniemi ◽  
Anna Luusua ◽  
Eveliina Juntunen
Keyword(s):  
Case Studies ◽  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Evaluation Methods ◽  
Data Analyses ◽  
Sense Of Security ◽  
System Data

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.

Study of Reactance Evaluation Methods in Saturated Magnetic Field for Permanent Magnet Synchronous Motor

2006 ◽  
Vol 126 (12) ◽  
pp. 1722-1729 ◽  
Author(s):  
Akeshi Takahashi ◽  
Haruo Koharagi ◽  
Satoshi Kikuchi ◽  
Kazumasa Ide ◽  
Kazuo Shima
Keyword(s):  
Magnetic Field ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Evaluation Methods

Dysphagia Evaluation Methods

2018 ◽  
Vol 69 (2) ◽  
pp. 162-163
Author(s):  
M. Kitano
Keyword(s):  
Evaluation Methods

Evaluation methods in idiopathic scoliosis

2019 ◽  
Vol 20 (4) ◽  
pp. 179-183
Author(s):  
Adriana Zaharia ◽  
Alina Iliescu ◽  
Mihai Berteanu
Keyword(s):  
Idiopathic Scoliosis ◽  
Evaluation Methods
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