Automatic Recognition System Using Preferential Image Segmentation For Leaf And Flower Images
| dc.category | Journal Article | |
| dc.contributor.author | Geethalakshmi, S N | |
| dc.date.accessioned | 2017-03-27T23:27:23Z | |
| dc.date.available | 2017-03-27T23:27:23Z | |
| dc.date.issued | 2011 | |
| dc.department | Computer Science | en_US |
| dc.description.abstract | Plant is one of the most important forms of life on earth. Plant recognition is very demanding in biology and agriculture as new plant discovery and the computerization of the management of plant species become more popular. The recognition is a process resulting in the assignment of each individual plant to a descending series of related plants in terms of their common characteristics. The process is very timeconsuming as it has been mainly carried out by botanists. Computer-aided plant recognition is still very challenging task in computer vision as the lack of proper models or representation schemes, a large number of variations of the plant species, and imprecise image pre-processing techniques, such as edge detection and contour e.xtraction. The focus of computerized living plant recognition is on stable feature's e.xtraction of plants. The information of leaf veins, therefore, play an important role in identifying living plants. The ultimate goal of this project is to develop a system where a user in the field can take a picture of an unknown plant, feed it to the system carried on a portable computer, and have the system classify the species and display sample images of the closest matches within a couple of seconds. | en_US |
| dc.identifier.uri | https://ir.avinuty.ac.in/handle/avu/2180 | |
| dc.lang | English | en_US |
| dc.publisher.name | Computer Science And Engineering; An international Journal | en_US |
| dc.publisher.type | International | en_US |
| dc.title | Automatic Recognition System Using Preferential Image Segmentation For Leaf And Flower Images | en_US |
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