Krahasoni metodat

	Analiza e kontureve	Barazimi i Histogramës
Fusha	Vizioni kompjuterik	Vizioni kompjuterik
Familja	Machine learning	Machine learning
Viti i origjinës	1985	1970s
Krijuesi	Satoshi Suzuki and Keiichi Abe	Signal processing community
Lloji	Shape and contour analysis	Contrast enhancement and preprocessing
Burimi themelues	Suzuki, S., & Abe, K. (1985). Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing, 30(1), 32–46.	Gonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3.
Emërtime të tjera	Edge-based contours, Boundary analysis	Histogram stretching, Contrast enhancement
Të lidhura	5	5
Përmbledhja	Contour analysis is the process of detecting and analyzing the boundaries of objects in images by identifying connected edges and extracting shape information. The Suzuki-Abe algorithm provides an efficient method for finding contours in binary images, enabling shape-based object classification and segmentation.	Histogram equalization is an image preprocessing technique that redistributes pixel intensities to improve contrast and visibility of details. By spreading the histogram of pixel values evenly across the available range, histogram equalization enhances images with poor contrast, making features more visually distinct and easier to process algorithmically.