方法对比

	直方图均衡化	模板匹配
领域	计算机视觉	计算机视觉
方法族	Machine learning	Machine learning
起源年份	1970s	1980s
提出者	Signal processing community	Computer vision community
类型	Contrast enhancement and preprocessing	Pattern matching and detection
开创性文献	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.
别名	Histogram stretching, Contrast enhancement	Correlation-based matching, Similarity matching
相关	5	5
摘要	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.