Görüntü tanıma ile bir yapay zeka uygulaması

In this thesis, firstly the base program is developed for implementing and testing image processing algorithms. Image loading (from hard drive and webcam), image slicing and mixing functions are implemented. Puzzle solving algorithm based on one side edge detection with candidate adjacent cells is developed, tested and analysed with different images. As a consequence of this, the base of a new algorithm based on grouping jigsaw pieces (like Tetris game pieces) is applied. Width and height limit conditions are added according to the number of pieces in the puzzles. It has been provided to make multiple solutions automatically to increase the solution performance for choosing the optimal solution. On the second stage, pieces with lowest match scores are swapped among themselves for better solutions. The program consists of Tetris Mode and Unrotated Pieces Mode. In the Tetris Mode, pieces with similarity below the threshold are grouped together. These groups are displayed in the Solutions Window on the GUI. In the Unrotated Pieces Mode, the solutions and their scores are displayed here as images. Simulation of pieces, displaying empty/candidate spaces, puzzle boundaries and displaying the solutions in the Solutions Window are carried out at the same time, during the solution process.