Şunu aradınız:: communication of interest related parties (İngilizce - Kmerce)

places of interest
កិហ្ហ​ព្រមព្រៀង​អាជ្ញាបណ្ណ

region of interest imaging tool for xrf analysis
តំបន់​ឧបករណ៍​ឆ្លុះ​រូបភាព​ប៉ះពាល់​សម្រាប់​ការ​វិភាគ xrf

please click and drag on the image to select the region of interest:
សូម​ចុច ហើយ​អូស​លើ​រូបភាព ដើម្បី​ជ្រើស​តំបន់​ដែល​ចង់បាន & # 160; ៖

bi directional communication of clients with print devices, using the http / ipp; get and post mechanism.
ទំនាក់ទំនង​ទិស​ពីរ​របស់​ម៉ាស៊ីន​ភ្ញៀវ​ដែល​មាន​ឧបករណ៍​បោះពុម្ព ដោយ​ប្រើ​មេកានិច http / ipp get និង post & # 160; ។

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.
នៅក្នុង​ស្លាបព្រិល​ខាងឆ្វេង​ដៃ អ្នក​នឹងឃើញ​ទិដ្ឋភាព​មែកធាង ដែលមាន​ជម្រើស​ពីរ​គឺ & # 160; ៖ តាម​លំដាប់​អក្សរក្រម ឬ តាម​ប្រធាន​បទ & # 160; ។ ជម្រើស​ទាំងពីរ​មាន​ធាតុ​ដូចគ្នា ប៉ុន្តែ​តម្រៀប​ផ្សេងគ្នា ដើម្បី​អោយអ្នក​រកធាតុ​ដែលចាប់អារម្មណ៍​បាន​យ៉ាងលឿន & # 160; ។

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.