Optimization of an image set by genetic feature selection for real-time photomosaics
Yoon‐Seok Choi, Bon-Ki Koo, Byung-Ro Moon · 2010
We present a genetic feature selection method for the optimization of an image set for producing real-time photomosaics. A photomosaic is an image that is divided into grid cells, each of which is replaced with another image of an appropriate color pattern. Construction of a photomosaic requires a large set of tile images with different patterns. However, a large number of photo images requires expensive pattern searching and a large storage space. These requirements can cause problems in applications to real-time domains or mobile devices with limited resources. We present a genetic feature selection method for building an optimized image set to accelerate pattern searching and minimize the memory cost.