Detection of Corresponding Points in Images

Bachelor thesis is concerned with detection of corresponding points in two digital images. It summarises and describes basic, new and modern methods of detection of interest points. It also describes methods for determinating equivalence of image parts. Work itself includes design of application and describes implementation of corresponding points detector based on segmentation method MSER. Application was written in C programming language and uses Open CV graphic library under Windows XP operating system. Results that summarise characteristics of detector illustrate potential of chosen methods