https://doi.org/10.5201/ipol.2018.194
Cook and download a directory from the Software Heritage Vault
You have requested the cooking of the directory with identifier None into a standard tar.gz archive
.
Are you sure you want to continue ?
Download a directory from the Software Heritage Vault
You have requested the download of the directory with identifier None as a standard tar.gz archive
.
Are you sure you want to continue ?
Cook and download a revision from the Software Heritage Vault
You have requested the cooking of the history heading to revision with identifier swh:1:rev:3fe71958c866901c02af48041516988f9d2ace04 into a bare git archive
.
Are you sure you want to continue ?
Download a revision from the Software Heritage Vault
You have requested the download of the history heading to revision with identifier swh:1:rev:3fe71958c866901c02af48041516988f9d2ace04 as a bare git archive
.
Are you sure you want to continue ?
Invalid Email !
The provided email is not well-formed.
Download link has expired
The requested archive is no longer available for download from the Software Heritage Vault.
Do you want to cook it again ?
{ "extrinsic": { "provider": "https://deposit.softwareheritage.org/1/private/1325/meta/", "raw": { "origin": { "type": "deposit", "url": "https://doi.org/10.5201/ipol.2018.194" }, "origin_metadata": { "metadata": { "atom:external_identifier": "ipol.2018.194", "atom:title": "ipol_194", "codemeta:applicationCategory": "Image Processing", "codemeta:author": [ { "codemeta:affiliation": "Sadjad University of Technology, Mashhad, Iran", "codemeta:name": "Boshra Rajaei" }, { "codemeta:affiliation": "CMLA, ENS Cachan, France", "codemeta:name": "Rafael Grompone von Gioi" } ], "codemeta:dateCreated": "2017-12-06", "codemeta:datePublished": "2018-11-02", "codemeta:description": "Gestaltic Grouping of Line Segments", "codemeta:downloadUrl": "http://www.ipol.im/pub/art/2018/194/gestalt_grouping_2.2.zip", "codemeta:identifier": "https://doi.org/10.5201/ipol.2018.194", "codemeta:isPartOf": { "codemeta:identifier": "ISSN: 2105-1232 DOI: 10.5201/ipol", "codemeta:name": "Image Processing On Line (IPOL)", "codemeta:type": "Journal" }, "codemeta:keywords": [ "Gestalt theory", "good continuation", "alignment", "parallelism", "line segment" ], "codemeta:license": { "codemeta:name": "AGPL-3.0-or-later", "codemeta:url": "https://spdx.org/licenses/AGPL-3.0-or-later.html" }, "codemeta:operatingSystem": [ "Windows", "Linux", "MacOS" ], "codemeta:programmingLanguage": "Matlab", "codemeta:referencePublication": { "codemeta:abstract": "Using simple grouping rules in Gestalt theory, one may detect higher level features (geometric structures) in an image from elementary features. By recursive grouping of already detected geometric structures a bottom-up pyramid could be built that extracts increasingly complex geometric features from the input image. Taking advantage of the (recent) advances in reliable line segment detectors, in this paper, we propose three feature detectors along with their corresponding detailed algorithms that constitute one step up in this pyramid. For any digital image, our unsupervised algorithm computes three classic Gestalts from the set of predetected line segments: good continuations, non-local alignments, and bars. The methodology is based on a common stochastic a contrario model yielding three simple detection formulas, characterized by their number of false alarms. This detection algorithm is illustrated on several digital images.", "codemeta:identifier": "https://doi.org/10.5201/ipol.2018.194", "codemeta:name": "Gestaltic Grouping of Line Segments", "codemeta:url": "http://www.ipol.im/pub/art/2018/194/article.pdf" }, "codemeta:relatedLink": "http://ipolcore.ipol.im/demo/clientApp/demo.html?id=194", "codemeta:releaseNotes": "This code implements the algorithm(s) published in the IPOL paper \"Gestaltic Grouping of Line Segments\"", "codemeta:url": "http://www.ipol.im/pub/art/2018/194/", "codemeta:version": "2.1" }, "provider": { "metadata": {}, "provider_name": "", "provider_type": "deposit_client", "provider_url": "https://doi.org/10.5201/" }, "tool": { "configuration": { "sword_version": "2" }, "name": "swh-deposit", "version": "0.8.0" } } }, "when": "2020-12-26T12:37:20.967201+00:00" }, "original_artifact": [ { "checksums": { "sha1": "8cabfcc023ea25054bde849279983dbe3f567561", "sha256": "9a0fa6976781c218303774f725345f94ba7d6e7ff63e47acc23cb17c5fc1d0ae" }, "filename": "archive.zip", "length": 65642, "url": "https://deposit.softwareheritage.org/1/private/1325/raw/" } ] }
To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.
ipol: Deposit 1325 in collection ipol
# lazy makefile
PROG=GG
all:
mex MEX_lsd_cmd.c lsd.c
mcc -a ./ -m ${PROG}
Computing file changes ...