Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization

Algorithm 1

Feature Selection using Colour and Gray Texture Features with optimized PSO.

INPUT: Extracted Colour, Gray and Shape features as particles with respective weight for each particle.

OUTPUT: Relevant retrieved images based on the query image.

Step 1: Initialize all extracted feature as particles

Step 2: Initialize respective weight for all particles

Step 3: Combine information from both particles and weights

Step 4: Select best particle and combine these particles based on fitness value

Where the fitness value of a particle is calculated by using distance measure of the following equation

[20]

   // Where and are the features of database and query image, denotes weight of the i^th particle //

Step 5: The retrieval of image in the database for the query image can be done by (1: N) process. This process can be repeated for all database and query image until retrieving top matched image.