Pinned Repositories
android-fundamentals
ayam-ku-website
AyamKu-Website
Website admin for AyamKu App
cbir-matlab
Content-based image retrieval implemented in MATLAB
cbir_proj
A Content-Based Image Retrieval (CBIR) engine based on color histograms
cbir_using_ffbpnn
Content-based image retrieval (CBIR) is a technique that helps in searching a user desired information from a huge set of image files and interpret user intentions for the desired information. The retrieval of information is based on features of image like colour, shape, texture, annotation etc. In addition, the system with neural network can learn by itself: it can automatically extract features of images during the retrieval phase and can store them as additional information to improve the performance. We propose the system for querying, including efficient graphical user interfaces and efficient retrieval of images.
Content-Based-Image-Retreival
The aim of this project is to review the current state of the art in content-based image retrieval (CBIR), a technique for retrieving images on the basis of automatically-derived features such as color, texture and shape. My findings are primary based both on a review of the relevant literature and on exploring possible enhancements over the net.The need to find a desired image from a collection is shared by many professional groups, including journalists, design engineers and art historians. While the requirements of image users can vary considerably, it can be useful to characterize image queries into three levels of abstraction: primitive features such as color or shape, logical features such as the identity of objects shown and abstract attributes such as the significance of the scenes depicted. While CBIR systems currently operate effectively only at the lowest of these levels, most users demand higher levels of retrieval.
Content-based-Image-Retrieval
Image-Retrieval
A MatLab program which receives a test image and find the most similar images in the database.
PCA-image-search
Content Based Image Retrieval Using Latent Semantic Indexing.
raissaar's Repositories
raissaar/android-fundamentals
raissaar/ayam-ku-website
raissaar/AyamKu-Website
Website admin for AyamKu App
raissaar/cbir-matlab
Content-based image retrieval implemented in MATLAB
raissaar/cbir_proj
A Content-Based Image Retrieval (CBIR) engine based on color histograms
raissaar/cbir_using_ffbpnn
Content-based image retrieval (CBIR) is a technique that helps in searching a user desired information from a huge set of image files and interpret user intentions for the desired information. The retrieval of information is based on features of image like colour, shape, texture, annotation etc. In addition, the system with neural network can learn by itself: it can automatically extract features of images during the retrieval phase and can store them as additional information to improve the performance. We propose the system for querying, including efficient graphical user interfaces and efficient retrieval of images.
raissaar/Content-Based-Image-Retreival
The aim of this project is to review the current state of the art in content-based image retrieval (CBIR), a technique for retrieving images on the basis of automatically-derived features such as color, texture and shape. My findings are primary based both on a review of the relevant literature and on exploring possible enhancements over the net.The need to find a desired image from a collection is shared by many professional groups, including journalists, design engineers and art historians. While the requirements of image users can vary considerably, it can be useful to characterize image queries into three levels of abstraction: primitive features such as color or shape, logical features such as the identity of objects shown and abstract attributes such as the significance of the scenes depicted. While CBIR systems currently operate effectively only at the lowest of these levels, most users demand higher levels of retrieval.
raissaar/Content-based-Image-Retrieval
raissaar/Image-Retrieval
A MatLab program which receives a test image and find the most similar images in the database.
raissaar/PCA-image-search
Content Based Image Retrieval Using Latent Semantic Indexing.
raissaar/Performance-Analysis-on-Content-Based-Image-Retrieval-with-SVM-and-KNN
raissaar/simple-cbir-matlab
Contoh Aplikasi GUI - Content Based Image Retrieval
raissaar/TicTacToe
Simple Tic Tac Toe game to learn Object Oriented Concepts and implementation of Greedy Algorithms. A simple AI Based implementation has also been done for playing a Tic Tac Toe game
raissaar/TicTacToeAI
Simple TicTacToe with AI