scholarly journals Detection of Object under Outdoor Environment with Binary Edge Image for Template

2004 ◽  
Vol 124 (2) ◽  
pp. 480-488 ◽  
Author(s):  
Satoshi Kunimitsu ◽  
Hajime Asama ◽  
Kuniaki Kawabata ◽  
Taketoshi Mishima
Keyword(s):  
Outdoor Environment ◽  
Edge Image ◽  
Binary Edge

Fast Content Based Color Image Retrieval System Based on Texture Analysis of Edge Map

2011 ◽  
Vol 341-342 ◽  
pp. 168-172
Author(s):  
Hesamoddin Salehian ◽  
Fatemeh Zamani ◽  
Mansour Jamzad
Keyword(s):  
Time Complexity ◽  
Retrieval System ◽  
Color Image ◽  
Color Spaces ◽  
Edge Detector ◽  
Complementary Information ◽  
Edge Image ◽  
Image Retrieval System ◽  
Different Color ◽  
Binary Edge

In this paper we propose a method for CBIR based on the combination of texture, edge map and color. As texture of edges yields important information about the images, we utilized an adaptive edge detector that produces a binary edge image. Also, using the statistics of color in two different color spaces provides complementary information to retrieve images. Our method is time efficient since we have applied texture calculations on the binary edge image. Our experimental results showed both the higher accuracy and lower time complexity of our method with similar related works using SIMPLIcity database.

scholarly journals Extracting Objects Using Contour Evolutions in Edge-Based Object Tracking

2006 ◽  
Vol 10 (3) ◽  
pp. 362-371
Author(s):  
Hiroyuki Tsuji ◽  
◽  
Shinji Tokumasu ◽  
Hiroki Takahashi ◽  
Masayuki Nakajima ◽  
...  
Keyword(s):  
Evolution Equations ◽  
Good Condition ◽  
Video Object ◽  
Edge Image ◽  
Object Contour ◽  
Contour Evolution ◽  
Edge Based ◽  
Binary Object ◽  
Binary Edge ◽  
Evolution Approach

We propose edge-based object extraction targeting automatic video object plane (VOP) generation in MPEG-4 content-based video coding. In an edge-based VOP generation framework proposed by Meier, the object is represented as a binary edge image that does not generally form a closed contour and that also contains many extra edges, making extracting the object contour accurately less straightforward in such situations. To solve this problem, we adopt a PDE-based contour evolution approach to evolve initial multiple contours contained inside the object toward its boundary based on evolution equations, and to finally merge them into a single contour that accurately represents the object’s shape. Our experimental results using an MPEG standard image sequence show that object contours obtained as we propose appear subjectively more natural in shape compared with those obtained by two conventional methods, especially when the binary object model is not in good condition.

Fast and Effective Algorithm of Iris Localization Based on Hough Transform

2014 ◽  
Vol 519-520 ◽  
pp. 788-793
Author(s):  
Bao Qiang Wang ◽  
Lin Zhang
Keyword(s):  
Hough Transform ◽  
Polar Coordinates ◽  
Effective Algorithm ◽  
Horizontal Edge ◽  
Edge Image ◽  
Iris Localization ◽  
Boundary Parameter ◽  
Relationship Of ◽  
Binary Edge

The purpose of the paper is to research a fast and effective algorithm of iris localization based on Hough transform, for improving the quality of iris localization. The methods of practice include as follows. Firstly, the pupil center is estimated by using of a metric. Secondly, the binary edge image is transformed into the polar coordinates. After the rules of horizontal edge selection are used to select horizontal edge, the edge-selected image is transformed into the Cartesian coordinates. Finally, the Hough transform and the coupling relationship of the boundaries are used to determine the parameters of boundaries, and the biggest boundary parameter is selected for the estimation of the iris boundary parameter. Experiments indicate that the proposed algorithm is effective and available.

Evaluation of the heat changes in an ancient church because of restoration works: A microclimatic study supported by thermal images

2021 ◽  
pp. 1420326X2199462
Author(s):  
Stefano Ridolfi ◽  
Susanna Crescenzi ◽  
Fabiana Zeli ◽  
Stefano Perilli ◽  
Stefano Sfarra
Keyword(s):  
Methodological Approach ◽  
Thermal Capacity ◽  
Outdoor Environment ◽  
Heat Index ◽  
Heat Sources ◽  
Thermal Images ◽  
Roof Structure ◽  
Period 2 ◽  
Microclimate Monitoring ◽  
The Church

This work is centred on an ancient Italian church. Since 2011, a restoration plan has been undertaken by following sequential phases. The methodological approach to restoration was guided by environmental monitoring campaigns. In particular, two thermo-hygrometric campaigns were carried out during the warm months of the years 2015 and 2016. The first set of measurements was executed during the restoration of facades and roofs, making it possible to reach even areas that are usually difficult to access. The second set was performed to evaluate the indoor thermo-hygrometric conditions following the work of the previous year. This was intended to assess their differences in variability, the influence of the outdoor environment and any real and perceived improvement. Results demonstrate that thermal images helped in identifying both the heat sources causing thermal discomforts and the good thermal capacity of masonries. Concerning the heat index (HI), the church showed an improvement in the trend of malaise perceived by people during the second summer period (∼2°C lower than 2015). Finally, in the last microclimate monitoring, the roof structure no longer acted as an amplifier for daily temperature excursions.

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