Image retrieval based on index compressed vector quantization

Moghadam, Amir Masoud Eftekhari; Shanbehzadeh, Jamshid; Mahmoudi, Fariborz; Soltanian-Zadeh, Hamid

doi:10.1016/s0031-3203(03)00172-9

Cited by 5 publications

(1 citation statement)

References 24 publications

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“…This is the retrieval of images on the basis of features automatically derived from the images themselves. The features most widely used are texture [1][2][3], color [4][5][6] and shape [7][8][9]. A plethora of texture features extraction algorithms exists, such as wavelets [10][11][12], mathematical morphology [13] and stochastic models [14], to mention few.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent System for Aerial Image Retrieval and Classification

Γαστεράτος

Zafeiridis

Andreadis

2004

Methods and Applications of Artificial Intelligence

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Abstract. Content based image retrieval is an active research area of pattern recognition. A new method of extracting global texture energy descriptors is proposed and it is combined with features describing the color aspect of texture, suitable for image retrieval. The same features are also used for image classification, by its semantic content. An exemplar fuzzy system for aerial image retrieval and classification is proposed. The fuzzy system calculates the degree that a class, such as sea, clouds, desert, forests and plantations, participates in the input image. Target applications include remote sensing, computer vision, forestry, fishery, agricultures, oceanography and weather forecasting.

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