Enhanced constrained least squares filter for wood image classification /
Saved in:
Main Author: | |
---|---|
Format: | Thesis Book |
Language: | English |
Published: |
2022.
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 01212nam a2200325 i 4500 | ||
---|---|---|---|
001 | u1160325 | ||
003 | SIRSI | ||
005 | 202301101609 | ||
008 | 230110s2022 my a m 000 0 eng | ||
040 | |a UMM |e rda | ||
090 | |a TK7 |b UMP 2022 Lydah | ||
100 | 0 | |a Lydia binti Abdul Hamid, |e author. | |
245 | 1 | 0 | |a Enhanced constrained least squares filter for wood image classification / |c Lydia binti Abdul Hamid. |
264 | 1 | |c 2022. | |
300 | |a xvi, 118 leaves : |b illustrations ; |c 30 cm | ||
336 | |a text |2 rdacontent | ||
336 | |a still image |r dacontent | ||
337 | |a unmediated |2 rdamedia | ||
337 | |a computer |2 rdamedia | ||
338 | |a volume |2 rdacarrier | ||
338 | |a computer disc |2 rdacarrier | ||
502 | |b Ph.D. |c Jabatan Kejuruteraan Elektrik, Fakulti Kejuruteraan, Universiti Malaya |d 2022. | ||
504 | |a Bibliography: leaves 108-117. | ||
530 | |a Also issued in CD. | ||
650 | 0 | |a Image processing |x Digital techniques | |
650 | 0 | |a Information storage and retrieval systems |z Image files | |
710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
900 | |a mia | ||
596 | |a 1 | ||
999 | |a XX(1160325.1) |w LC |c 1 |i 1160325-1001 |l INPROCESS |m P01UTAMA |r Y |s Y |t TESIS |u 10/1/2023 |