Local colour statistics for edge definition
Barbara Džaja, Niksa Antisic, Mirjana Bonković · 2013
This paper addresses important computer vision problem of defining a measure for the strength (intensity) of edges in an image. The importance of the problem arises from the fact that images are typically represented in the multi - colour RGB format, hence each pixel requires more than one parameter to be defined. The α image is created using local colour statistics based on the size of the neighbourhood, surrounding image pixel under consideration. The local colour statistics defined by the size of the neighbourhood surrounding is called patch. The paper introduces measure for definition and detection of edges in the image based on that local colour neighbourhood. The valuation measure is based on the sum of absolute measure present in α image. This way, the number of parameters required for defining pixels and edges is reduced to a single parameter, α. Therefore, patch size plays an important role in definition and detection of edges.