02374ntm a2200253 a 4500 vtls000077631 KUKTEM 20251114204614.0 140416t2012 my da f m 000 0 eng d THE0007090(Local) 201906131109 hanafiah 201404161001 Fida 201404161000 Fida UMP TK8315 .S939 2012 rs Bc. Siti Syazwani Razi Detection of gram positive and gram negative organisms in sputum quality testing / Siti Syazwani Razi Kuantan, Pahang : UMP, 2012 xiv, 55 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2012 Bibliography : p. 55 Sputum is a mucus that cough up from the lower airways which is a normal body fluid. The sputum consists of squamous epithelial cell, pus cells and bacteria. For this project, it only focus on bacteria organisms which is consists of two type of bacteria such as gram positive and gram negative bacteria. The purpose of this project is to detect and count the quantity for gram positive and gram negative bacteria. At the same time, the grading for both bacteria is identified based on grading criteria. Currently, gram positive and gram negative bacteria is detected and counted manually by human and the grading is identified. Since human might do some mistake in detection and summation for both bacteria and take a long time in doing this process, developing an automatic vision system is necessary to obtain more accurate results and time saving. This automatic vision system developed based on image processing technique which is involve of software simulation only by using MATLAB simulation. In developing this project, some techniques of the image processing is applied into MATLAB simulation such as image analysis, image segmentation, image enhancement, morphological process and other. Then, the results for summation and grading are displayed on MATLAB Graphical user Interface (GUI). Last but not least, the result for grading obtained give similar value compare to validation test from HUSM. Image intensifiers Electronic cameras 0 0 0 1 20000 20000 2019-09-04 0 TK8315 .S939 2012 rs Bc. 0000071251 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 6723 | TK8315 .S939 2012 rs Bc. 0000071252 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 4934 4940 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992