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places of interest
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Ultimo aggiornamento 2011-10-23
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region of interest imaging tool for xrf analysis
តំបន់ឧបករណ៍ឆ្លុះរូបភាពប៉ះពាល់សម្រាប់ការវិភាគ xrf
Ultimo aggiornamento 2014-08-15
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please click and drag on the image to select the region of interest:
សូមចុច ហើយអូសលើរូបភាព ដើម្បីជ្រើសតំបន់ដែលចង់បាន & # 160; ៖
Ultimo aggiornamento 2011-10-23
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Attenzione: contiene formattazione HTML nascosta
bi directional communication of clients with print devices, using the http / ipp; get and post mechanism.
ទំនាក់ទំនងទិសពីររបស់ម៉ាស៊ីនភ្ញៀវដែលមានឧបករណ៍បោះពុម្ព ដោយប្រើមេកានិច http / ipp get និង post & # 160; ។
Ultimo aggiornamento 2011-10-23
Frequenza di utilizzo: 1
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Attenzione: contiene formattazione HTML nascosta
in the left hand pane you will see a tree view, with two choices: alphabetically or by topic. both contain the same entries, sorted differently, to allow you to quickly find the item of interest.
នៅក្នុងស្លាបព្រិលខាងឆ្វេងដៃ អ្នកនឹងឃើញទិដ្ឋភាពមែកធាង ដែលមានជម្រើសពីរគឺ & # 160; ៖ តាមលំដាប់អក្សរក្រម ឬ តាមប្រធានបទ & # 160; ។ ជម្រើសទាំងពីរមានធាតុដូចគ្នា ប៉ុន្តែតម្រៀបផ្សេងគ្នា ដើម្បីអោយអ្នករកធាតុដែលចាប់អារម្មណ៍បានយ៉ាងលឿន & # 160; ។
Ultimo aggiornamento 2011-10-23
Frequenza di utilizzo: 1
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Attenzione: contiene formattazione HTML nascosta
quality (interpolation)select here the demosaicing raw images decoding interpolation method. a demosaicing algorithm is a digital image process used to interpolate a complete image from the partial raw data received from the color-filtered image sensor internal to many digital cameras in form of a matrix of colored pixels. also known as cfa interpolation or color reconstruction, another common spelling is demosaicing. there are 4 methods to demosaicing raw images: bilinear: use high-speed but low-quality bilinear interpolation (default - for slow computer). in this method, the red value of a non-red pixel is computed as the average of the adjacent red pixels, and similar for blue and green. vng: use variable number of gradients interpolation. this method computes gradients near the pixel of interest and uses the lower gradients (representing smoother and more similar parts of the image) to make an estimate. ppg: use patterned pixel grouping interpolation. pixel grouping uses assumptions about natural scenery in making estimates. it has fewer color artifacts on natural images than the variable number of gradients method. ahd: use adaptive homogeneity-directed interpolation. this method selects the direction of interpolation so as to maximize a homogeneity metric, thus typically minimizing color artifacts.
quality (interpolation) select here the demosaicing raw images decoding interpolation method. a demosaicing algorithm is a digital image process used to interpolate a complete image from the partial raw data received from the color- filtered image sensor internal to many digital cameras in form of a matrix of colored pixels. also known as cfa interpolation or color reconstruction, another common spelling is demosaicing. there are 4 methods to demosaicing raw images: bilinear: use high- speed but low- quality bilinear interpolation (default - for slow computer). in this method, the red value of a non- red pixel is computed as the average of the adjacent red pixels, and similar for blue and green. vng: use variable number of gradients interpolation. this method computes gradients near the pixel of interest and uses the lower gradients (representing smoother and more similar parts of the image) to make an estimate. ppg: use patterned pixel grouping interpolation. pixel grouping uses assumptions about natural scenery in making estimates. it has fewer color artifacts on natural images than the variable number of gradients method. ahd: use adaptive homogeneity- directed interpolation. this method selects the direction of interpolation so as to maximize a homogeneity metric, thus typically minimizing color artifacts.
Ultimo aggiornamento 2011-10-23
Frequenza di utilizzo: 1
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