作者: Milan Sonka , Vaclav Hlavac , Roger Boyle
DOI: 10.1007/978-1-4899-3216-7_4
关键词: Image gradient 、 Image processing 、 Image restoration 、 Digital image 、 Image formation 、 Computer vision 、 Computer science 、 Image texture 、 Binary image 、 Artificial intelligence 、 Feature detection (computer vision)
摘要: Pre-processing is a common name for operations with images at the lowest level of abstraction — both input and output are intensity images. These iconic same kind as original data captured by sensor, an image usually represented matrix function values (brightnesses). The aim pre-processing improvement that suppresses unwilling distortions or enhances some features important further processing, although geometric transformations (e.g. rotation, scaling, translation) classified among methods here since similar techniques used.