Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Liu Rong Hong"'
Publikováno v:
Advanced Materials Research. :1306-1310
Hough transform is an effective way in object recognition and applied to many industrial processes. Based on the principle of Hough transform, a new algorithm which can detect objects through an affine transform was proposed in this paper. First, app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c436973b367cd661b33955c6d8f0f30
https://doi.org/10.4028/www.scientific.net/amr.490-495.1306
https://doi.org/10.4028/www.scientific.net/amr.490-495.1306
Publikováno v:
Applied Mechanics and Materials. :489-493
A road background generation and update method that is based on segment statistics is put forward. It is to generate background by image segmentation and statistic of the gray average in each gray segment interval. It realizes background update with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20c5c69d0eade9f062adb6caf63f93f3
https://doi.org/10.4028/www.scientific.net/amm.157-158.489
https://doi.org/10.4028/www.scientific.net/amm.157-158.489
Autor:
Liu Rong Hong
Publikováno v:
Applied Mechanics and Materials. :494-498
Mice action data is important part of the experimental data in neurology, physiological etc. subjects. A algorithm was proposed on action analysis of mice in this paper. Difference of mice in inter-frame was extracted while the position relationship
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31b7b09f7716f08b5d6b25110a8555a6
https://doi.org/10.4028/www.scientific.net/amm.157-158.494
https://doi.org/10.4028/www.scientific.net/amm.157-158.494
Autor:
Liu Rong Hong
Publikováno v:
Applied Mechanics and Materials. :64-70
As a natural, fast mathematical formula input, online handwritten mathematical formula input have great prospects. The paper described the algorithm of recognizing the common online handwritten mathematical formula structure. Firstly, the forms were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f674f5b248ef21a4b85381ff0683db92
https://doi.org/10.4028/www.scientific.net/amm.48-49.64
https://doi.org/10.4028/www.scientific.net/amm.48-49.64