| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0561404 |
| utime |
20230316105536.8 |
| mtime |
20220921235959.9 |
| SCOPUS |
85140432803 |
| WOS |
000871953900019 |
| DOI |
10.1007/978-3-031-16210-7_19 |
| title
(primary) (eng) |
Textural Features Sensitivity to Scale and Illumination Variations |
| specification |
| page_count |
13 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0561403 |
| ISBN |
978-3-031-16209-1 |
| ISSN |
1865-0929 |
| title
|
Advances in Computational Collective Intelligence : 14th International Conference, ICCCI 2022 |
| page_num |
237-249 |
| publisher |
| place |
Cham |
| name |
Springer International Publishing |
| year |
2022 |
|
| editor |
| name1 |
Badica |
| name2 |
Costin |
|
|
| keyword |
Markovian Textural Features |
| keyword |
Scale Sensitivity |
| keyword |
Illumination Sensitivity |
| author
(primary) |
| ARLID |
cav_un_auth*0213290 |
| name1 |
Vácha |
| name2 |
Pavel |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| garant |
A |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA19-12340S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0376011 |
|
| abstract
(eng) |
Visual scene recognition is predominantly based on visual textures representing an object's material properties. However, the single material texture varies in scale and illumination angles due to mapping an object's shape. We present a comparative study of the color histogram, Gabor, opponent Gabor, Local Binary Pattern (LBP), and wide-sense Markovian textural features concerning their sensitivity to simultaneous scale and illumination variations. Due to their application dominance, these textural features are selected from more than \n50 published textural features. Markovian features are information preserving, and we demonstrate their superior performance for scale and illumination variable observation conditions over the standard alternative textural features. We bound the scale variation by double size, and illumination variation includes illumination spectra, acquisition devices, and 35 illumination directions spanned above a sample. |
| action |
| ARLID |
cav_un_auth*0436572 |
| name |
International Conference on Computational Collective Intelligence (ICCCI 2022) /14./ |
| dates |
20220926 |
| mrcbC20-s |
20220930 |
| place |
Hammamet |
| country |
TN |
|
| RIV |
BD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2023 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0334061 |
| cooperation |
| ARLID |
cav_un_auth*0295073 |
| name |
Vysoká škola ekonomická v Praze |
| institution |
VŠE |
| country |
CZ |
|
| confidential |
S |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Interdisciplinary Applications|Computer Science Theory Methods |
| arlyear |
2022 |
| mrcbU14 |
85140432803 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000871953900019 WOS |
| mrcbU63 |
cav_un_epca*0561403 Advances in Computational Collective Intelligence : 14th International Conference, ICCCI 2022 Springer International Publishing 2022 Cham 237 249 978-3-031-16209-1 Communications in Computer and Information Science 1653 1865-0929 1865-0937 |
| mrcbU67 |
Badica Costin 340 |
|