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An efficient algorithm to segregate and provide grades for the meat based on its quality. Incipiently presenting the methods of germ analysis, the challenges and solutions in software development are pointed out. Binocular microscope and microscopic camera are used for image acquisition. For image processing, NI Vision Assistant tool and LabVIEW software are used. For differentiating the bacterial cells (bacilli and cocci), the threshold values are varied accordingly. To determine the average count of the cocci and bacilli bacterial cells, the particle analysis tool is being used. I.INTRODUCTION Possible health threats caused by spoilt food is an up-to-date and important issue to many consumers. Research in applications of image processing is intensively done worldwide for guarantee and optimization to quality and safety of food products. The advantage of this technology is the very short response time of an image processing system utilizing for quality assurance of food. The focus point at this stage is set on the retrieval of two types of bacteria: cocci and bacilli bacterial cells in meat samples. Initially the gram staining process is performed in the laboratory and the required images are captured using binocular microscopic setup. In this gram staining process, the chemical dyes are used for differentiating the bacterial cells. From different magnifications of the binocular microscope, the suitable magnification for capturing the image is chosen. The images are then fed into the Vision Assistant tool. In this tool the images are processed based on certain criteria such as brightness, threshold, colour plane extraction, basic morphology, particle analysis, etc. II.PROPOSED SYSTEM In our proposed system, we have performed certain processes which are as follows: 1. The gram staining technique to highlight the infective bacterial cells in the meat sample. 2. To view the growth of bacterial cells through the binocular microscope. 3. The images of the grown bacterial cells are captured using microscopic camera. 4. A suitable algorithm for the captured images are developed using Vision Assistant tool. 5. The particle analysis of the infective bacterial cells is done using LabVIEW software. III.METHODOLOGY 1. GRAM STAINING: In this process, we have chosen three different states of meat samples namely fresh, frozen and meat that has been exposed to the environment for a whole day. The samples are cut into small chunks that are to be placed into the petri plates. Initially the petri plates are made sterile by exposing them to UV rays. The nutrient medium is prepared by boiling 0.65 grams of agar with 70ml of distilled water. The nutrient medium is then poured into the petri plates and the meat samples are inoculated into it. Then the petri International Journal of Recent Trends in Engineering & Research (IJRTER) Conference on Electronics, Information and Communication Systems (CELICS’17) Special Issue; March 2017 [ISSN: 2455-1457] DOI : 10.23883/IJRTER.CONF.20170331.050.Z2B5X @IJRTER-2017, All Rights Reserved 267 plates are sealed and then placed into the incubator. After 6 hours, the bacterial colonies are scrapped using a needle and smeared on to the glass slide. To heat fix the organism glass slide was gently passed through the flame. The smeared glass slide is then proceeded with gram staining technique. The smears stained with crystal violet for 2 minutes and slide was washed in slow running water. Iodine was added and retained for few minutes which from crystal violet iodine complex and its again wash with the decolourizing agent alcohol was added and the slide was washed after 30 seconds. Then the slide was again washed slow running water. The counter stain safranin was added and washed with water after 2 minutes. Slides were observed under binocular microscope after drying.

HIGH RESOLUTION ACQUISITION AND PROCESSING OF BINOCULAR MICROSCOPIC IMAGES FOR QUALITY ASSURANCE OF FOOD