##THIS WORK WAS DONE BY AMIRA BEDOUI & ROUA MKADMI 5th YEAR OF ENGINEERING AS PART OF INDEXATION PROJECT ##
The objective of this project is to implement a content-based image search engine, which enables the retrieval of images most similar to a query image within a database. An image search engine comprises two main components:
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Indexing, which involves defining an automatic method to describe images, enabling their differentiation[based on the histogram and the texture]
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Searching, where users have a means to search for query images within an image database.
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Clone the project
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execute : python interface.py
- The first interface [Route: /index] will let you enter the desireb number of columns and rows to show images from the database(Note: the database contains 50 image)
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The second interface [Route: /show_images] will show the images
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Tap on the desired image to show top 4 similar images
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Now top 4 images are occured with similarity distance calculated
