2009 International Conference on Information Technology and Computer Science 2009
DOI: 10.1109/itcs.2009.192
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Abstract: Normalized Cross Correlation Operating (NCCO) between two binary images, template image and target image, is independent of their gray levels. Further more, providing the template is a binary image, the calculation results of NCCO should remain unrelated to the gray level of the template image. This paper proved the inference above and presented some methods to improve the pattern matching algorithms. These methods can be applied to the microscopic vision field, where the majority of images are low in their gr… Show more

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Cited by 3 publications
(2 citation statements)
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“…Robust and easier to interpret, the Normalized Gradient Field (NGF) measures a normalized distance between the gradients of the images to be registered [ 34 , 35 ]. Some works proposed calculating the similarity measures from binary data, arguing that the registration process is, in this way, accelerated [ 36 , 37 , 38 , 39 ]. These three similarity measures were used for comparison in the registration algorithm.…”
Section: Methodsmentioning
confidence: 99%
“…Robust and easier to interpret, the Normalized Gradient Field (NGF) measures a normalized distance between the gradients of the images to be registered [ 34 , 35 ]. Some works proposed calculating the similarity measures from binary data, arguing that the registration process is, in this way, accelerated [ 36 , 37 , 38 , 39 ]. These three similarity measures were used for comparison in the registration algorithm.…”
Section: Methodsmentioning
confidence: 99%
“…The low speed during the matching search is the main problem needed to be solved especially in the case of high computational complexity and large amount of data processing [12]. Normalized cross correlation (NCC) method based on gray features is used as the similarity measure function in the image matching search [13]. It has the characteristics of high accuracy, good performance such as anti-noise and adaptability to image distortion.…”
Section: Introductionmentioning
confidence: 99%