Computer vision based traffic signs recognition system /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2017.
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/8458/ |
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| LEADER | 01349cam a2200337 i 4500 | ||
|---|---|---|---|
| 001 | u1077052 | ||
| 003 | SIRSI | ||
| 005 | 201803091704 | ||
| 008 | 180309s2017 my a m 000 0 eng | ||
| 040 | |a UMM |d UMJ |e rda | ||
| 090 | |a TJ7 |b UM 2017 Lia | ||
| 097 | |a TK7 |b UM 2017 Lia | ||
| 100 | 1 | |a Liaw, Edwind Yee Kang, |e author. | |
| 245 | 1 | 0 | |a Computer vision based traffic signs recognition system / |c Edwind Liaw Yee Kang. |
| 264 | 1 | |c 2017. | |
| 300 | |a xiv, 60 leaves : |b illustrations ; |c 30 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 502 | |b M.Eng. |c Jabatan Kejuruteraan Elektrik, Fakulti Kejuruteraan, Universiti Malaya |d 2017. | ||
| 504 | |a Bibliography: leaves 54-56. | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Traffic signs and signals |x Data processing. | |
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/8458/ |
| 596 | |a 1 7 | ||
| 900 | |a NSM AMA | ||
| 999 | |a TJ7 UM 2017 LIA |w LC |c 1 |i A517082634 |d 23/5/2018 |f 23/5/2018 |g 1 |l STACKS |m P01UTAMA |r N |s Y |t TESIS |u 7/5/2018 |1 STEM | ||
| 999 | |a TJ7 UM 2017 LIA |w LC |c 1 |i A516961512 |d 5/7/2018 |f 5/7/2018 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 5/7/2018 |1 STEM | ||