KLASIFIKASI GRAIN DAN LYMPH NODE DENGAN METODE TEXTURE CO-OCCURRENCE MATRIX
Richardus WG Sabon, Sisca, Lina

Prosiding Seminar Nasional Teknologi Informasi 2012, Vol.9 No.1, hal.8-13
ISSN : 1829-9156

Abstrak:

The computer's ability to process a various type of data is the impact of technological developments from time to time. One of data types that can be processed by computers include multimedia data types such as image. Image data processing on this research form pattern identification method using texture co-ooccurrence matrix. To support the use of co-occurrence matrix texture for identification, then an application program was designed to idenrify patterns of change that have been implemented by the method of texture co-occurrence matrix. This application program can help the process of identification by calcularing the characteristic values on an image  by using a method that has been implemented. The characteristic values that are used include the value of contrast. homogeneity,  and  entropy. The results obtained in the form of object recognition in images by using a vector comparison between the characteristic values of the tested images with the images contained in the database.