Information Granules in Application to Image Recognition

Abstract

Abstract. The paper concerns specific problems of color digital image recognition by use of the concept of fuzzy and rough granulation. This idea employs information granules that contain pieces of knowledge about digital pictures such as color, location, size, and shape of an object to be recognized. The object information granule (OIG) is introduced, and the Granular Pattern Recognition System (GPRS) proposed, in order to solve different tasks formulated with regard to the information granules.

Image Retrieval by Use of Linguistic Description in Databases

“…For simplicity, in our considerations we ignore the luminance but it can be taken into account in further, more detailed research. The main advantage of using the CIE color model is the fuzzy granulation of the color space, so we can employ the granular recognition system introduced in [17] and developed in [18]. The CIE color model is suitable from artificial intelligence point of view because the intelligent recognition system should imitate the way of human perception of colors.…”

“…With regard to the shape attribute, we also consider rough granulation based on rough sets [9]; see our previous papers, e.g. [17].…”