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April 29, 20260 citationsOpen Access

Content Based Image Retrieval Using Texture And Color Features

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Authors

MTMahadu. A. Trimukhe

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Overview

Randomized trial explores how texture and color features improve image retrieval, suggesting enhanced accuracy.

Key Points

  • This paper aims to address the challenges of designing an effective Content Based Image Retrieval (CBIR) system.
  • Utilized texture features extracted via the Haar wavelet transform.
  • Employed color feature extraction using color moments.
  • Computed the distance between query image features and database images for similarity.
  • Demonstrated significant improvements in retrieval accuracy using multiple features compared to a single feature.
  • Highlighted the effectiveness of Haar wavelet transform and color moments in enhancing CBIR performance.

Cite This Study

Mahadu. A. Trimukhe (2026) studied this question.

synapsesocial.com/papers/69f19ff5edf4b46824806aafhttps://doi.org/10.5281/zenodo.19827795
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