APPLICATION OF MALARIA DETECTION OF DRAWING BLOOD CELLS USING MICROSCOPIC OpenCV
Abstract: The goal of the
research is to produce an application, which can detect malaria on patient
through microscopic digital image of blood sample. The research methods are
data collection, design analysis, testing and evaluation. The used application
methods are image pre-processing, morphology and image segmentation using
OpenCV. The expected result is a creation of application, which can be able to
detect malaria on a microscopic digital image of patient blood sample. The
conclusion is that the application can detect malaria from young trophozoites
stadium and gametesocytes from the picture.
Author: Antonius Herusutopo,
Rahadi Wibowo Bisono, Josephta Inri Meliala
Journal Code: jptinformatikagg110018
Artikel Terkait :
Jp Teknik Informatika gg 2011
- TECHNOLOGY OPTIONS TO SUPPORT THE IMPLEMENTATION OF KNOWLEDGE MANAGEMENT
- THE DEVELOPMENT OF A WEB BASED DATABASE APPLICATIONS OF PROCUREMENT, INVENTORY, AND SALES AT PT. INTERJAYA SURYA MEGAH
- A DESIGN OF SALES INFORMATION SYSTEM ON PAPER CUTTING MACHINE DISTRIBUTOR
- THE STRATEGIC PLANNING OF IS/IT AT PT. LINTAS GROUP
- THE ANALYSIS AND THE DESIGN OF E-MARKETING STRATEGY AT SME’S (A CASE STUDY: THE DARE TO DREAM INDONESIA COMMUNITY)
- Information Technology Risk Measurement: Octave-S Method
- Design and Analysis: Payroll of Accounting Information System
- Auditing Information System : Delivery Product Service
- Analysis and Design: Accounting Information System in Purchasing and Supplying
- Design Simulation Program of Runway Capacity Using Genetic Algorithm At Soekarno-Hatta Airport
- Information Technology Investment Strategy Planning: Balance Scorecard Approach
- Control Evaluation Information System Savings
- Information Technology Risk Assessment: Octave-S Approach
- Utilizing Soft Computing for Determining Protein Deficiency
- THE IMPLEMENTATION OF ASSOCIATION RULES IN ANALYZING THE SALES OF AMIGO GROUP
- TEXT DOCUMENT INFORMATION RETRIEVAL BASED ON CONCEPTS
- New Edge Detection Method for Indonesian Batik
- Music Mood Player Implementation Applied In Daycare Using Self Organizing Map Method