Fuzzy techniques can be applied in several domains of image processing. In this paper, we
will show how notions of fuzzy set theory are used in establishing measures for image …

Fuzzy techniques can be applied in several domains of image processing. In this paper we
will show how notions of fuzzy set theory are used in establishing measures for image …

Objective quality measures or measures of comparison are of great importance in the field of
image processing. Such measures are needed for the evaluation and the comparison of …

In this paper, we will show how fuzzy similarity measures are used in establishing measures
for image quality evaluation. Similarity measures, originally introduced to express the …

The interest in digital image comparison is steadily growing in the computer vision
community. The definition of a suitable comparison measure for non-binary images is …

In image analysis, the concept of similarity has been widely explored and various measures
of similarity, or of distance, have been proposed that yield a quantitative evaluation. There …

In this paper, we present a method for binary image comparison. For binary images, intensity
information is poor and shape extraction is often difficult. Therefore binary images have to be …

Similarity/distance measures play an important role in various signal/image processing
applications such as classification, clustering, change detection and matching. In most …

The performance of several discrepancy measures for the comparison of edge images is
analyzed and a novel similarity metric aimed at overcoming their problems is proposed. The …

The subject of this chapter is image similarity measures. These measure provide a
quantitative measure of the degree of match between two images, or image patches, A and …