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The main aim of the project is to implement Content Based Image Retrieval which is one of the most important concepts of computer vision. The bog companies are using this to compare the similarity between the images based on the feature vector of the Targeted image.

C++ 56.81% C 42.08% CMake 1.11%
cpp opencv cbir gabor-feature-extraction gabor-filters histogram-matching image-search-engine texture-mapping multi-histogram

content-based-image-retrieval's Introduction

๐Ÿ’ซ About Me:

Hello folks, I am Rishabh Singh, a passionate robotics enthusiast pursuing my Master of Science in Robotics at Northeastern University. With a strong skill set in programming, tools, and libraries, I have experience in designing telecom networks and developing wireless surveillance bots. My projects showcase my expertise in Autonomous systems, Computer Vision, Object detection & recognition, and sensor fusion. I am dedicated to pushing the boundaries of robotics and contributing to innovative advancements in the field.

Introducing myself in a single sentence : "I am an Ordinary man with Extraordinary dreams".

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๐Ÿ’ป Tech Stack:

C C++ Python Anaconda ROS NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow Arduino LINUX Raspberry Pi CMake Notion

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