1989
DOI: 10.1109/34.42837
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Geometric precision in noise-free digital images

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Cited by 45 publications
(19 citation statements)
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“…due to repeated scanning was exploited by Zhou and Lopresti to decrease OCR error [20]. Random-phase sampling noise was systematically investigated in remote sensing [21,22] and in scanned documents [23], and eventually incorporated into Henry Baird"s defect model [24]. The relationship between spatial and amplitude quantization in scanning was explored thoroughly by Barney Smith [25].…”
Section: Prior Workmentioning
confidence: 99%
“…due to repeated scanning was exploited by Zhou and Lopresti to decrease OCR error [20]. Random-phase sampling noise was systematically investigated in remote sensing [21,22] and in scanned documents [23], and eventually incorporated into Henry Baird"s defect model [24]. The relationship between spatial and amplitude quantization in scanning was explored thoroughly by Barney Smith [25].…”
Section: Prior Workmentioning
confidence: 99%
“…Recently, some evidence of the relative superiority of the centroid method for signal localization over such methods as zero crossing or peak detection has come to light [4]. In practice, the centroid method not only resulted in a substantial improvement in resolvable detail, it was remarkably robust in the presence of noise, low signal level, and nonlinearities such as those caused by surface features.…”
Section: Marketing As the Mother Of Inventionmentioning
confidence: 99%
“…In [6] the loss of accuracy in digitized straight lines coming from quantization is analyzed giving a quantitative idea of damages coming from one of the steps implied from digitalization. The work reported in [7] introduced the idea of Locales, which are broadly applicable to the estimation of the position and shape of objects, although their use is showed only for binary images. In [8] an interesting mathematical tool for the estimation of the average error due to quantization is introduced, but it does not take into account a sufficiently detailed number of factors to be useful for a practical application in evaluating the uncertainty of images.…”
Section: Introductionmentioning
confidence: 99%