Hue-based quaternionic criterion for focused-color extraction

In this paper, a method of specific colored area extraction into a color image is presented. Usual color segmentation or edge detection operators perform a global processing on the image. Thus, every area into an image is detected. The whole image is subdivided into several region by labeled pixels, or boundaries in case of an edge detection. Our purpose is to extract only specific areas into an image sharing a specific color attribute, hence sharing a common color based on a specific hue. The quaternionic geometrical transformation into RGB color space is used. A specific hue axis is defined. From this axis, a criterion defines a color subspace into an RGB color space using the quaternionic HSI interpretation of RGB vectors.