Perbandingan Metode Segmentasi SOM dan Fuzzy CMeans pada Content-Based Image Retrieval Berbasis Warna

Desain dan Implementasi Sistem Digital Assistant Berbasis Google Glass pada Rumah Sakit

Abstrak—Demi meningkatkan kinerja pelayanan di rumah sakit, salah satu solusi yang diperlukan adalah sebuah sistem yang dapat mempermudah staf medik fungsional dalam menunaikan tugasnya. Makalah ini membahas mengenai desain dan implementasi sistem digital assistant yang dirancang untuk digunakan oleh staf medik fungsional di rumah sakit. Sistem ini diimplementasikan menjadi perangkat lunak bern...

Content Based Image Retrieval Using a Bootstrapped SOM Network

A modification of the well-known PicSOM retrieval system is presented. The algorithm is based on a variant of the self-organizing map algorithm that uses bootstrapping. In bootstrapping the feature space is randomly sampled and a series of subsets are created that are used during the training phase of the SOM algorithm. Afterwards, the resulting SOM networks are merged into one single network w...

Content-Based Image Retrieval Using SOM and DWT

Content-Based Image Retrieval (CBIR) from a large database is becoming a necessity for many applications such as medical imaging, Geographic Information Systems (GIS), space search and many others. However, the process of retrieving relevant images is usually preceded by extracting some discriminating features that can best describe the database images. Therefore, the retrieval process is mainl...

SOM-based Document Image Retrieval

In this paper we discuss some applications of word image clustering (based on Self Organizing Maps, SOM) for tasks related to document image retrieval. Two main applications are discussed: document retrieval and word retrieval. In document retrieval a document representation based on the vector model is obtained by computing the occurrences of words belonging to the SOM clusters in each documen...

: Fuzzy aggregation of image features in content-based image retrieval