01830nam a2200265 a 4500 0 0 0 1 10000 10000 2019-09-04 0 TS1449 .Z34 2006 rs 0000018219 2019-09-04 00:00:00 1 2019-09-04 SPECIAL 11398 11404 vtls000018263 KUKTEM 20251117141112.0 070215t2004 my g t 001 0 may d SC00000102(Local) 201905291436 nadia 201107131902 VLOAD 201105231428 Fida 200908141302 VLOAD UMP UMP TS1449 .Z34 2006 rs Zalili Musa Sistem pengesanan kerosakan pada jalinan tekstil / Zalili binti Musa, Rohani Abu Bakar, Tuty Asmawaty Abdul Kadir Kuantan, Pahang : KUKTEM, 2006 xvii, 211 p. : ill. ; 30 cm. Research final report - vot RDU 05/1/17 (KUKTEM) The purpose of this study was to determine the best methodology, techniques, and algorithms in detecting defects on textile webs through several tests on the prototypes developed in the laboratory. Existing methodologies are based on statistical methods that emphasize on pixel density and relationship of grey level among neighboring pixels. This method, however, is not very effective in detecting defects on textile webs. From a series of tests conducted in this study, a methodology that was enhanced with a pre-processor module (Lili Methodology) was able to detect defects on all the five types of textile webs at 100% level. Four main modules used in this methodology were image acquisition, pre-processor, extraction, and texture analysis (see Figure 1). For each module, several enhanced techniques and algorithms that were based on existing techniques and algorithms were used to produce optimum results. Textile fibers Analysis Computer programs Textile fibers Testing Rohani Abu Bakar Tuty Asmawaty Abdul Kadir lcc SPECIAL