Abstract
Methods for classification of images are of an important research area in image processing and pattern recognition. In particular, image classification is playing an increasingly important role in medicine and biology with respect to medical diagnoses and drug discovery, respectively. This paper presents a new method for image classification based on the frameworks of fuzzy sets and geostatistics. The proposed method was applied to the automated detection of regions of mitochondria in microscope images. The high correction rate of detecting the locations of the mitochondria in a complex environment obtained from the proposed method suggests its effectiveness and its better performance than several other existing algorithms.