SHAPE RECOGNITION PROGRAM AND SHAPE RECOGNITION DEVICE FOR LEAF-LIKE CROP
To provide a shape recognition program and a shape recognition device for leaf-like crop that can accurately recognize the shape of a leaf-like crop.SOLUTION: The shape recognition program for a leaf-like crop causes a computer to function as a shape recognition device including: leaf area extractio...
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| creator | MASUZAWA HIROAKI MIURA JUN OOISHI SHIYUUJI TSUME MITSUO SUZUKI KENSUKE SAKATA JUN |
| description | To provide a shape recognition program and a shape recognition device for leaf-like crop that can accurately recognize the shape of a leaf-like crop.SOLUTION: The shape recognition program for a leaf-like crop causes a computer to function as a shape recognition device including: leaf area extraction means 61 for setting a scan area including a curved area curving outward in a radial direction with a center of gravity of a leaf-like crop being a center in order to extract a stem area from an inspection image of the leaf-like crop; stem area extraction means 62 for performing, after repeating a first extraction process of extracting an overlapping area overlapping a leaf-like crop in the scan area set by the leaf area extraction means and a second extraction process of extracting a small area from the overlapping area extracted in the first extraction process multiple times while expanding the scan area, an area combining process of combining a plurality of small areas extracted in the second extraction process to extract a stem area; and leaf blade area extraction means 63 for extracting, from an image of the leaf-like crop, a leaf blade area of the leaf-like crop excluding the stem area extracted by the stem area extraction means.SELECTED DRAWING: Figure 5
【課題】葉状農作物の形状を正確に認識できる葉状農作物の形状認識プログラム及び形状認識装置を提供する。【解決手段】コンピュータを、葉状農作物の検査画像から葉柄の領域を抽出すべく、葉状農作物の重心を中心として径外方向に湾曲する曲線領域を含む走査領域を設定する葉領域抽出手段６１、葉領域抽出手段で設定した走査領域のうち葉状農作物と重なる重複領域を抽出する第一の抽出処理と第一の抽出処理で抽出した重複領域から短小領域を抽出する第二の抽出処理とを走査領域を拡張しつつ複数回繰り返した後に、第二の抽出処理で抽出した複数の短小領域を結合する領域結合処理を実行して葉柄の領域を抽出する葉柄領域抽出手段６２、葉状農作物の像から葉柄領域抽出手段で抽出した葉柄の領域を除いて葉状農作物の葉身の領域を抽出する葉身領域抽出手段６３を有する形状認識装置として機能させる。【選択図】図５ |
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【課題】葉状農作物の形状を正確に認識できる葉状農作物の形状認識プログラム及び形状認識装置を提供する。【解決手段】コンピュータを、葉状農作物の検査画像から葉柄の領域を抽出すべく、葉状農作物の重心を中心として径外方向に湾曲する曲線領域を含む走査領域を設定する葉領域抽出手段６１、葉領域抽出手段で設定した走査領域のうち葉状農作物と重なる重複領域を抽出する第一の抽出処理と第一の抽出処理で抽出した重複領域から短小領域を抽出する第二の抽出処理とを走査領域を拡張しつつ複数回繰り返した後に、第二の抽出処理で抽出した複数の短小領域を結合する領域結合処理を実行して葉柄の領域を抽出する葉柄領域抽出手段６２、葉状農作物の像から葉柄領域抽出手段で抽出した葉柄の領域を除いて葉状農作物の葉身の領域を抽出する葉身領域抽出手段６３を有する形状認識装置として機能させる。【選択図】図５</description><language>eng ; jpn</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; MEASURING ; MEASURING ANGLES ; MEASURING AREAS ; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS ; MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS ; PHYSICS ; TESTING</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190418&DB=EPODOC&CC=JP&NR=2019061567A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190418&DB=EPODOC&CC=JP&NR=2019061567A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MASUZAWA HIROAKI</creatorcontrib><creatorcontrib>MIURA JUN</creatorcontrib><creatorcontrib>OOISHI SHIYUUJI</creatorcontrib><creatorcontrib>TSUME MITSUO</creatorcontrib><creatorcontrib>SUZUKI KENSUKE</creatorcontrib><creatorcontrib>SAKATA JUN</creatorcontrib><title>SHAPE RECOGNITION PROGRAM AND SHAPE RECOGNITION DEVICE FOR LEAF-LIKE CROP</title><description>To provide a shape recognition program and a shape recognition device for leaf-like crop that can accurately recognize the shape of a leaf-like crop.SOLUTION: The shape recognition program for a leaf-like crop causes a computer to function as a shape recognition device including: leaf area extraction means 61 for setting a scan area including a curved area curving outward in a radial direction with a center of gravity of a leaf-like crop being a center in order to extract a stem area from an inspection image of the leaf-like crop; stem area extraction means 62 for performing, after repeating a first extraction process of extracting an overlapping area overlapping a leaf-like crop in the scan area set by the leaf area extraction means and a second extraction process of extracting a small area from the overlapping area extracted in the first extraction process multiple times while expanding the scan area, an area combining process of combining a plurality of small areas extracted in the second extraction process to extract a stem area; and leaf blade area extraction means 63 for extracting, from an image of the leaf-like crop, a leaf blade area of the leaf-like crop excluding the stem area extracted by the stem area extraction means.SELECTED DRAWING: Figure 5
【課題】葉状農作物の形状を正確に認識できる葉状農作物の形状認識プログラム及び形状認識装置を提供する。【解決手段】コンピュータを、葉状農作物の検査画像から葉柄の領域を抽出すべく、葉状農作物の重心を中心として径外方向に湾曲する曲線領域を含む走査領域を設定する葉領域抽出手段６１、葉領域抽出手段で設定した走査領域のうち葉状農作物と重なる重複領域を抽出する第一の抽出処理と第一の抽出処理で抽出した重複領域から短小領域を抽出する第二の抽出処理とを走査領域を拡張しつつ複数回繰り返した後に、第二の抽出処理で抽出した複数の短小領域を結合する領域結合処理を実行して葉柄の領域を抽出する葉柄領域抽出手段６２、葉状農作物の像から葉柄領域抽出手段で抽出した葉柄の領域を除いて葉状農作物の葉身の領域を抽出する葉身領域抽出手段６３を有する形状認識装置として機能させる。【選択図】図５</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>MEASURING</subject><subject>MEASURING ANGLES</subject><subject>MEASURING AREAS</subject><subject>MEASURING IRREGULARITIES OF SURFACES OR CONTOURS</subject><subject>MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPAM9nAMcFUIcnX2d_fzDPH091MICPJ3D3L0VXD0c1HAlHVxDfN0dlVw8w9S8HF1dNP18fR2VXAO8g_gYWBNS8wpTuWF0twMSm6uIc4euqkF-fGpxQWJyal5qSXxXgFGBoaWBmaGpmbmjsZEKQIAcK4tUg</recordid><startdate>20190418</startdate><enddate>20190418</enddate><creator>MASUZAWA HIROAKI</creator><creator>MIURA JUN</creator><creator>OOISHI SHIYUUJI</creator><creator>TSUME MITSUO</creator><creator>SUZUKI KENSUKE</creator><creator>SAKATA JUN</creator><scope>EVB</scope></search><sort><creationdate>20190418</creationdate><title>SHAPE RECOGNITION PROGRAM AND SHAPE RECOGNITION DEVICE FOR LEAF-LIKE CROP</title><author>MASUZAWA HIROAKI ; MIURA JUN ; OOISHI SHIYUUJI ; TSUME MITSUO ; SUZUKI KENSUKE ; SAKATA JUN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2019061567A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2019</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>MEASURING</topic><topic>MEASURING ANGLES</topic><topic>MEASURING AREAS</topic><topic>MEASURING IRREGULARITIES OF SURFACES OR CONTOURS</topic><topic>MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>MASUZAWA HIROAKI</creatorcontrib><creatorcontrib>MIURA JUN</creatorcontrib><creatorcontrib>OOISHI SHIYUUJI</creatorcontrib><creatorcontrib>TSUME MITSUO</creatorcontrib><creatorcontrib>SUZUKI KENSUKE</creatorcontrib><creatorcontrib>SAKATA JUN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MASUZAWA HIROAKI</au><au>MIURA JUN</au><au>OOISHI SHIYUUJI</au><au>TSUME MITSUO</au><au>SUZUKI KENSUKE</au><au>SAKATA JUN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SHAPE RECOGNITION PROGRAM AND SHAPE RECOGNITION DEVICE FOR LEAF-LIKE CROP</title><date>2019-04-18</date><risdate>2019</risdate><abstract>To provide a shape recognition program and a shape recognition device for leaf-like crop that can accurately recognize the shape of a leaf-like crop.SOLUTION: The shape recognition program for a leaf-like crop causes a computer to function as a shape recognition device including: leaf area extraction means 61 for setting a scan area including a curved area curving outward in a radial direction with a center of gravity of a leaf-like crop being a center in order to extract a stem area from an inspection image of the leaf-like crop; stem area extraction means 62 for performing, after repeating a first extraction process of extracting an overlapping area overlapping a leaf-like crop in the scan area set by the leaf area extraction means and a second extraction process of extracting a small area from the overlapping area extracted in the first extraction process multiple times while expanding the scan area, an area combining process of combining a plurality of small areas extracted in the second extraction process to extract a stem area; and leaf blade area extraction means 63 for extracting, from an image of the leaf-like crop, a leaf blade area of the leaf-like crop excluding the stem area extracted by the stem area extraction means.SELECTED DRAWING: Figure 5
【課題】葉状農作物の形状を正確に認識できる葉状農作物の形状認識プログラム及び形状認識装置を提供する。【解決手段】コンピュータを、葉状農作物の検査画像から葉柄の領域を抽出すべく、葉状農作物の重心を中心として径外方向に湾曲する曲線領域を含む走査領域を設定する葉領域抽出手段６１、葉領域抽出手段で設定した走査領域のうち葉状農作物と重なる重複領域を抽出する第一の抽出処理と第一の抽出処理で抽出した重複領域から短小領域を抽出する第二の抽出処理とを走査領域を拡張しつつ複数回繰り返した後に、第二の抽出処理で抽出した複数の短小領域を結合する領域結合処理を実行して葉柄の領域を抽出する葉柄領域抽出手段６２、葉状農作物の像から葉柄領域抽出手段で抽出した葉柄の領域を除いて葉状農作物の葉身の領域を抽出する葉身領域抽出手段６３を有する形状認識装置として機能させる。【選択図】図５</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MEASURING MEASURING ANGLES MEASURING AREAS MEASURING IRREGULARITIES OF SURFACES OR CONTOURS MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS PHYSICS TESTING |
| title | SHAPE RECOGNITION PROGRAM AND SHAPE RECOGNITION DEVICE FOR LEAF-LIKE CROP |
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