. Traditional data mining techniques mainly deal with a search for patterns in traditional databases, where data consists of numbers and words. In many application areas, however, data is more complicated: real-life data is often obtained as an image from a camera rather than a few measurements. Furthermore, this image can also change dynamically. In this paper, we present several examples of how soft computing is related to mining such data. Keywords: data mining; soft computing; image analysis; cotton; tracking high-speed targets 1 Introduction Traditional data mining techniques (see, e.g., [4,6,15,18,27,28]) mainly deal with a search for patterns in traditional databases, where data consists of numbers and words. In many application areas, however, data is more complicated: real-life data is often obtained as an image from a camera (see, e.g., [2,3]). Each image contains much more information than a typical data record, so we cannot simply use traditional methods to mine through ..
