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Car-Searcher

Project College | Informatics Master Degree | Institute of Technology Bandung - http://www.itb.ac.id

Clustering Image [Concept]

Dataset: 390 images

step 1: Color Quantization with KMeans clustering - Distance?
step 2: use ColorDescriptor with HSV region-histogram based

Color
histogram: feature
region-1 >> 288 --> get 50 center
region-2 >> 288 --> get 50 center
region-3 >> 288 --> get 50 center
region-4 >> 288 --> get 50 center
region-5 >> 288 --> get 50 center
Features Center Total: 250 feature-center

390 image x 250 feature-center = 97,500 features-vector (Dimension: 390 rows x 250 cols)

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Color Dominant
Shape (CEDD - Lire)

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