{ "_id": "6a113e5aacfb0bcc41ce6151", "Package": "CTRing", "Type": "Package", "Title": "Density Profiles of Wood from CT Scan Images", "Version": "0.1.0", "Authors@R": "c(person(given = \"Dipak\",\nfamily = \"Mahatara\",\nrole = \"aut\"),\nperson(given = \"Robert\",\nfamily = \"Schneider\",\nrole = c(\"cre\",\"aut\"),\nemail = \"robert_schneider@uqar.ca\"))", "Maintainer": "Robert Schneider ", "Description": "Computerized tomography (CT) can be used to assess certain\nwood properties when wood disks or logs are scanned. Wood\ndensity profiles (i.e. variations of wood density from pith to\nbark) can yield important information used for studies in\nforest resource assessment, wood quality and dendrochronology\nstudies. The first step consists in transforming grey values\nfrom the scan images to density values. The packages then\nproposes a unique method to automatically locate the pith by\ncombining an adapted Hough Transform method and a\none-dimensional edge detector. Tree ring profiles (average ring\ndensity, earlywood and latewood density, ring width and percent\nlatewood for each ring) are then obtained.", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-23 05:37:05 UTC", "User": "root" }, "Author": "Dipak Mahatara [aut], Robert Schneider [cre, aut]", "Config/pak/sysreqs": "cmake libfftw3-dev libglpk-dev make libicu-dev\nlibjpeg-dev libpng-dev libtiff-dev libxml2-dev tcl tk tk-dev\nlibx11-dev", "Repository": "https://robertschneiderfromuqar.r-universe.dev", "Date/Publication": "2024-09-11 02:52:10 UTC", "RemoteUrl": "https://github.com/cran/CTRing", "RemoteRef": "HEAD", "RemoteSha": "82b2973a1905a9b67a1fed4732a388ef16465904", "MD5sum": "f00256eaac9bc2b45a1c02f8a2d4ae0c", "_user": "robertschneiderfromuqar", "_type": "src", "_file": "CTRing_0.1.0.tar.gz", "_fileid": "9382f45bbaa353c2edce6f985fcac72d01f5acac2e7cdd3de820a34720551b07", "_filesize": 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"Delete ring from a pith to bark profile", "topics": [ "deleteRingFromProfile" ] }, { "page": "densityDataFrame", "title": "Convert to dataframe", "topics": [ "densityDataFrame" ] }, { "page": "detect_pith", "title": "Automatically detect pith in a CT scan image", "topics": [ "detect_pith" ] }, { "page": "extractProfile", "title": "Get profile between two points of the CTScan image matrix", "topics": [ "extractProfile" ] }, { "page": "getEwLw", "title": "Establish the transition point from earlywood to latewood for a series of rings", "topics": [ "getEwLw" ] }, { "page": "getImageInfo", "title": "Extract from header of CT scan image grayscale number of bits and pixel size", "topics": [ "getImageInfo" ] }, { "page": "grayToDensity", "title": "Convert from 8bit gray scale to density", "topics": [ "grayToDensity" ] }, { "page": "imageToMatrix", "title": "Convert dicom image to matrix", "topics": [ "imageToMatrix" ] }, { "page": "locatePathEnd", "title": "Get coordinates of the end of the 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