Comparison of Patterns Shapes and Patterns Texture for Identification of Malaria Parasites in Microscopic Image
Abstract: Identification of
malaria parasites in red blood cells has been done, with the aim of as tools to
identify experts microscopic parasites more quickly. This study aimed to
compare the level of accuracy in the results to identify and classify parasites
based on the pattern shape and texture patterns. The comparison is based on the
characteristics of the pattern used, the steps being taken in this study is the
image quality improvement process, the process of segmentation with Otsu
method, feature extraction process on the image data to be tested. The process
of pattern recognition and pattern shapes texture. The last step is to test the
identification and classification of plasmodium falciparum parasite into 12
classes using methods Learning Vector Quantization (LVQ). The results of this
study indicate that the pattern forms can provide a higher level of accuracy
compared to LVQ texture pattern. LVQ with input shape pattern successfully
identified 91% of image data correctly and input texture successfully
identified 48% of image data properly.
Author: Jani Kusanti, Yusuf
Zain Santosa
Journal Code: jptinformatikagg160036
