Description, Recognition and Analysis of Biological Images
Description, recognition and analysis biological images plays an important role for human to describe and understand the related biological information. The color images are separated by color reduction. A new and efficient linearization algorithm is introduced based on some criteria of difference c...
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| creator | Yu Donggang Jin, Jesse S. Luo Suhuai Pham, Tuan D. Lai Wei |
| description | Description, recognition and analysis biological images plays an important role for human to describe and understand the related biological information. The color images are separated by color reduction. A new and efficient linearization algorithm is introduced based on some criteria of difference chain code. A series of critical points is got based on the linearized lines. The series of curvature angle, linearity, maximum linearity, convexity, concavity and bend angle of linearized lines are calculated from the starting line to the end line along all smoothed contours. The useful method can be used for shape description and recognition. The analysis, decision, classification of the biological images are based on the description of morphological structures, color information and prior knowledge, which are associated each other. The efficiency of the algorithms is described based on two applications. One application is the description, recognition and analysis of color flower images. Another one is related to the dynamic description, recognition and analysis of cell-cycle images. |
| doi_str_mv | 10.1063/1.3314267 |
| format | Conference Proceeding |
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The color images are separated by color reduction. A new and efficient linearization algorithm is introduced based on some criteria of difference chain code. A series of critical points is got based on the linearized lines. The series of curvature angle, linearity, maximum linearity, convexity, concavity and bend angle of linearized lines are calculated from the starting line to the end line along all smoothed contours. The useful method can be used for shape description and recognition. The analysis, decision, classification of the biological images are based on the description of morphological structures, color information and prior knowledge, which are associated each other. The efficiency of the algorithms is described based on two applications. One application is the description, recognition and analysis of color flower images. Another one is related to the dynamic description, recognition and analysis of cell-cycle images.</description><subject>60 APPLIED LIFE SCIENCES</subject><subject>ALGORITHMS</subject><subject>BIOPHYSICS</subject><subject>CELL CYCLE</subject><subject>COLOR</subject><subject>FLOWERS</subject><subject>HUMAN POPULATIONS</subject><subject>IMAGE PROCESSING</subject><subject>INFORMATION</subject><subject>MATHEMATICAL LOGIC</subject><subject>MATHEMATICS</subject><subject>NUMERICAL ANALYSIS</subject><subject>OPTICAL PROPERTIES</subject><subject>ORGANOLEPTIC PROPERTIES</subject><subject>PATTERN RECOGNITION</subject><subject>PHYSICAL PROPERTIES</subject><subject>PHYSICS</subject><subject>POPULATIONS</subject><subject>PROCESSING</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNotzl1LwzAYBeAgCs7phf-g4K2deZM0H97NzY_BQJAh3oX0bVojXVOajrF_72ReHQ48HA4ht0BnQCV_gBnnIJhUZ2QCRQG5kiDPyYRSI3Im-NcluUrph1JmlNIT8rj0CYfQjyF299mHx9h04a9krquyeefaQwopi3X2FGIbm4CuzVZb1_h0TS5q1yZ_859Tsnl53ize8vX762oxX-eRFXLMtakUysJXhjlfllp7AyV4VOBqr_3xpDYSXa0oc7TgWoCQAnmFePSi4lOSn2bT3ve70vZD2LrhYKMLdhk-5zYOjW3DzgIrqISjvzv5mMZgE4bR4zfGrvM4WgZcUaME_wVU-1fr</recordid><startdate>20100101</startdate><enddate>20100101</enddate><creator>Yu Donggang</creator><creator>Jin, Jesse S.</creator><creator>Luo Suhuai</creator><creator>Pham, Tuan D.</creator><creator>Lai Wei</creator><scope>OTOTI</scope><scope>ADTPV</scope><scope>BNKNJ</scope><scope>DG8</scope></search><sort><creationdate>20100101</creationdate><title>Description, Recognition and Analysis of Biological Images</title><author>Yu Donggang ; Jin, Jesse S. ; Luo Suhuai ; Pham, Tuan D. ; Lai Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-o256t-89d7c65ed92aebb88e91b1ec71afe8e155896caf702a053841464c3dcc2ae4d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>60 APPLIED LIFE SCIENCES</topic><topic>ALGORITHMS</topic><topic>BIOPHYSICS</topic><topic>CELL CYCLE</topic><topic>COLOR</topic><topic>FLOWERS</topic><topic>HUMAN POPULATIONS</topic><topic>IMAGE PROCESSING</topic><topic>INFORMATION</topic><topic>MATHEMATICAL LOGIC</topic><topic>MATHEMATICS</topic><topic>NUMERICAL ANALYSIS</topic><topic>OPTICAL PROPERTIES</topic><topic>ORGANOLEPTIC PROPERTIES</topic><topic>PATTERN RECOGNITION</topic><topic>PHYSICAL PROPERTIES</topic><topic>PHYSICS</topic><topic>POPULATIONS</topic><topic>PROCESSING</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu Donggang</creatorcontrib><creatorcontrib>Jin, Jesse S.</creatorcontrib><creatorcontrib>Luo Suhuai</creatorcontrib><creatorcontrib>Pham, Tuan D.</creatorcontrib><creatorcontrib>Lai Wei</creatorcontrib><collection>OSTI.GOV</collection><collection>SwePub</collection><collection>SwePub Conference</collection><collection>SWEPUB Linköpings universitet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu Donggang</au><au>Jin, Jesse S.</au><au>Luo Suhuai</au><au>Pham, Tuan D.</au><au>Lai Wei</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Description, Recognition and Analysis of Biological Images</atitle><btitle>AIP conference proceedings</btitle><date>2010-01-01</date><risdate>2010</risdate><volume>1210</volume><issue>1</issue><spage>23</spage><pages>23-</pages><issn>0094-243X</issn><eissn>1551-7616</eissn><abstract>Description, recognition and analysis biological images plays an important role for human to describe and understand the related biological information. 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| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2010, Vol.1210 (1), p.23 |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_osti_scitechconnect_21370974 |
| source | AIP Journals Complete |
| subjects | 60 APPLIED LIFE SCIENCES ALGORITHMS BIOPHYSICS CELL CYCLE COLOR FLOWERS HUMAN POPULATIONS IMAGE PROCESSING INFORMATION MATHEMATICAL LOGIC MATHEMATICS NUMERICAL ANALYSIS OPTICAL PROPERTIES ORGANOLEPTIC PROPERTIES PATTERN RECOGNITION PHYSICAL PROPERTIES PHYSICS POPULATIONS PROCESSING |
| title | Description, Recognition and Analysis of Biological Images |
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