Bandingkan metode

	Ekualisasi Histogram	Operasi Morfologi Citra
Bidang	Visi Komputer	Visi Komputer
Keluarga	Machine learning	Machine learning
Tahun asal	1970s	1982
Pencetus	Signal processing community	Jean Serra
Tipe	Contrast enhancement and preprocessing	Set theory and topological image processing
Sumber perintis	Gonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3.	Serra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press.
Alias	Histogram stretching, Contrast enhancement	Mathematical morphology, Morphological filtering
Terkait	5	5
Ringkasan	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.	Morphological image processing, introduced by Jean Serra in 1982, is a technique based on set theory that reshapes and analyzes image regions using geometric structuring elements. Core operations include erosion and dilation, which can be combined into more complex operations like opening and closing, enabling noise removal, edge detection, and object analysis.