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  • Online registration of pharmaceutical company and drug verification system (a case study of New Good Health Pharmaceutical Company Limited Owerri)

    ABSTRACT

    This research is on Online registration of pharmaceutical company and drug verification system (a case study of New Good Health Pharmaceutical Company Limited Owerri). This project work deals with design and implementation of online registration of pharmaceutical company and drug verification system. It is designed to use computer in collection of data and information about checking of expiry of drug which is a continuous process in life that cannot be done away with and pharmaceutical company registration. This System will help eliminate the problem of incessant usage of expiry drugs without the prior knowledge. Questionnaire and interview were used as methods of investigation and fact findings. For the design, top down design under agile software development life cycle is used while php, jquery, boostrap framework and mysql database were the technologies propose for the programming. The system was design and tested okay. It was implemented using xampp server for simulation. In conclusion, theresults show that pharmaceutical company can register online for authentication and expiry drug can easily be verified using an online system. It also shows that patients can conveniently report any illicit drug to the appropriate agencies using the online system. The author recommends that the appropriate government agency should ensure those illicit drugs arecurb from our society by implementing this system.

     

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  • AN AUTOMATED AND ROBUST IMAGE PROCESSING ALGORITHM FOR GLAUCOMA DIAGNOSIS FROM FUNDUS IMAGES USING NOVEL BLOOD VESSEL TRACKING AND BEND POINT DETECTION

    Abstract

    This research is on an automated and robust image processing algorithm for glaucoma diagnosis from fundus images using novel blood vessel tracking and bend point detection. The study examined the use of automated image processing in diagnosing glaucoma. The study obtained the data used for the study from a fundus image data base online. From the fundus images the optic disc and optic cup were segmented  based on an image processing algorithm proposed by the study. The optic disc was segmented using a framework that improves accuracy by removing nose and blobs. The optic cup was  segmented by tracking the blood vessel and their bend points which are joined together to obtain an optic cup contour. The result of the Cup-to-Disc-Ratio (CDR) was then compared to the ground truth of the fundus images and it was observed to have high similarity. The performance of the algorithm was also accessed and it was observed to have an accuracy of 98.7%.

     

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