Matches in SemOpenAlex for { <https://semopenalex.org/work/W2774164604> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W2774164604 abstract "We aim to automatically identify all individual leaves in a monocotyledon image. Leaf identification is one of key technologies to acquire plant phenotypes such as a leaf length, a leaf count, and a growth rate. However, it is challenging to identify individual leaves from a monocotyledonous plant image due to their complicated occlusion and similar colors. We adopt a graph-theoretical approach to overcome the leaf occlusion and the color similarity between leaves, and apply a combinatorial optimization technique to simultaneously identify all individual leaves based on local and global characteristics of plants. We propose a plant-wide global optimization to identify all true leaves in a plant, which is formulated as a minimum path cover problem that we call the phytomorphological graph reconstruction. A phytomorphological graph of a plant image is a graph reflecting the plant's structure and is constructed through a plant region extraction and a skeletonization. All candidate leaf paths in the graph are extracted and their leaf path likelihoods are computed from the graph, where the leaf path likelihood means a measure of similarity with true leaves. The candidate leaf paths and their path likelihoods are used in the graph reconstruction process in order to find an optimal subset of the leaf paths which are similar to true leaves and can restore the phytomorphological graph as completely as possible. Experiments show that our proposed system effectively identifies individual leaves from a single 2-dimensional image of rice plants, which enables us to take an accurate and efficient high-throughput measurement of phenotypes for plants." @default.
- W2774164604 created "2017-12-22" @default.
- W2774164604 creator A5049407736 @default.
- W2774164604 creator A5081927157 @default.
- W2774164604 date "2017-09-01" @default.
- W2774164604 modified "2023-09-29" @default.
- W2774164604 title "Individual leaf identification from a two-dimensional monocotyledon image based on phytomorphological graph reconstruction" @default.
- W2774164604 cites W1508960934 @default.
- W2774164604 cites W2017101219 @default.
- W2774164604 cites W2039367092 @default.
- W2774164604 cites W2053913299 @default.
- W2774164604 cites W2065429801 @default.
- W2774164604 cites W2069635244 @default.
- W2774164604 cites W2069797029 @default.
- W2774164604 cites W2084925037 @default.
- W2774164604 cites W2086330580 @default.
- W2774164604 cites W2114937946 @default.
- W2774164604 cites W2124351162 @default.
- W2774164604 cites W2157242940 @default.
- W2774164604 cites W2278786050 @default.
- W2774164604 doi "https://doi.org/10.1109/iros.2017.8206495" @default.
- W2774164604 hasPublicationYear "2017" @default.
- W2774164604 type Work @default.
- W2774164604 sameAs 2774164604 @default.
- W2774164604 citedByCount "1" @default.
- W2774164604 countsByYear W27741646042018 @default.
- W2774164604 crossrefType "proceedings-article" @default.
- W2774164604 hasAuthorship W2774164604A5049407736 @default.
- W2774164604 hasAuthorship W2774164604A5081927157 @default.
- W2774164604 hasConcept C132525143 @default.
- W2774164604 hasConcept C153180895 @default.
- W2774164604 hasConcept C154945302 @default.
- W2774164604 hasConcept C33923547 @default.
- W2774164604 hasConcept C41008148 @default.
- W2774164604 hasConcept C80444323 @default.
- W2774164604 hasConceptScore W2774164604C132525143 @default.
- W2774164604 hasConceptScore W2774164604C153180895 @default.
- W2774164604 hasConceptScore W2774164604C154945302 @default.
- W2774164604 hasConceptScore W2774164604C33923547 @default.
- W2774164604 hasConceptScore W2774164604C41008148 @default.
- W2774164604 hasConceptScore W2774164604C80444323 @default.
- W2774164604 hasLocation W27741646041 @default.
- W2774164604 hasOpenAccess W2774164604 @default.
- W2774164604 hasPrimaryLocation W27741646041 @default.
- W2774164604 hasRelatedWork W1006072679 @default.
- W2774164604 hasRelatedWork W1566423428 @default.
- W2774164604 hasRelatedWork W1774794603 @default.
- W2774164604 hasRelatedWork W1869420503 @default.
- W2774164604 hasRelatedWork W1964896288 @default.
- W2774164604 hasRelatedWork W2028464571 @default.
- W2774164604 hasRelatedWork W2044789562 @default.
- W2774164604 hasRelatedWork W2100296510 @default.
- W2774164604 hasRelatedWork W2109262103 @default.
- W2774164604 hasRelatedWork W2554187014 @default.
- W2774164604 hasRelatedWork W2578916005 @default.
- W2774164604 hasRelatedWork W2610794419 @default.
- W2774164604 hasRelatedWork W2757504558 @default.
- W2774164604 hasRelatedWork W3046084961 @default.
- W2774164604 hasRelatedWork W41345981 @default.
- W2774164604 hasRelatedWork W2284821458 @default.
- W2774164604 hasRelatedWork W2850189645 @default.
- W2774164604 hasRelatedWork W2876689725 @default.
- W2774164604 hasRelatedWork W2877089313 @default.
- W2774164604 hasRelatedWork W2924317652 @default.
- W2774164604 isParatext "false" @default.
- W2774164604 isRetracted "false" @default.
- W2774164604 magId "2774164604" @default.
- W2774164604 workType "article" @default.