Porovnať metódy

	Histogram Equalization	Šablónové porovnávanie
Odbor	Počítačové videnie	Počítačové videnie
Rodina	Machine learning	Machine learning
Rok vzniku	1970s	1980s
Tvorca	Signal processing community	Computer vision community
Typ	Contrast enhancement and preprocessing	Pattern matching and detection
Pôvodný zdroj	Gonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3.	Lewis, J. P. (2004). Fast normalized cross-correlation. Vision Interface, 120–123.
Ďalšie názvy	Histogram stretching, Contrast enhancement	Correlation-based matching, Similarity matching
Príbuzné	5	5
Zhrnutie	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.	Template matching is a straightforward technique for locating a known pattern (template) within a larger image. By sliding a template image across the target image and computing a similarity measure at each position, template matching identifies locations where the template appears. It is effective for simple object detection when templates are well-defined and appearance variation is limited.