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文件名称:annotation_corel
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Plant Classification is the placing of known plants into groups or categories to show some relationship. They use features that can be used to group plants into a known hierarchy.
This research focuses on the mobile based application for plant identification through leaf recognition. Apart using the whole plant, the automation of plant identification can be performed using various parts of a plant anatomy like stem, flower, petal, seed and leaf.
This study uses the leaf part of the plant to identify a plant. The ease of creating digital images increased the need for processing power of computers and inexpensive methods. In order to gather the information, plant identification using computers has become an interesting subject of research. Global shortage of expert has further increased the demand for semi automated tools that would allow non-botanical persons to carry out valuable field work of identifying and characterizing plants.
-Plant Classification is the placing of known plants into groups or categories to show some relationship. They use features that can be used to group plants into a known hierarchy.
This research focuses on the mobile based application for plant identification through leaf recognition. Apart using the whole plant, the automation of plant identification can be performed using various parts of a plant anatomy like stem, flower, petal, seed and leaf.
This study uses the leaf part of the plant to identify a plant. The ease of creating digital images increased the need for processing power of computers and inexpensive methods. In order to gather the information, plant identification using computers has become an interesting subject of research. Global shortage of expert has further increased the demand for semi automated tools that would allow non-botanical persons to carry out valuable field work of identifying and characterizing plants.
This research focuses on the mobile based application for plant identification through leaf recognition. Apart using the whole plant, the automation of plant identification can be performed using various parts of a plant anatomy like stem, flower, petal, seed and leaf.
This study uses the leaf part of the plant to identify a plant. The ease of creating digital images increased the need for processing power of computers and inexpensive methods. In order to gather the information, plant identification using computers has become an interesting subject of research. Global shortage of expert has further increased the demand for semi automated tools that would allow non-botanical persons to carry out valuable field work of identifying and characterizing plants.
-Plant Classification is the placing of known plants into groups or categories to show some relationship. They use features that can be used to group plants into a known hierarchy.
This research focuses on the mobile based application for plant identification through leaf recognition. Apart using the whole plant, the automation of plant identification can be performed using various parts of a plant anatomy like stem, flower, petal, seed and leaf.
This study uses the leaf part of the plant to identify a plant. The ease of creating digital images increased the need for processing power of computers and inexpensive methods. In order to gather the information, plant identification using computers has become an interesting subject of research. Global shortage of expert has further increased the demand for semi automated tools that would allow non-botanical persons to carry out valuable field work of identifying and characterizing plants.
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下载文件列表
annotation_corel/
annotation_corel/ComputeSimilarity.m
annotation_corel/evalRetrieval.m
annotation_corel/ExtractFeature.m
annotation_corel/ExtractFeatures.m
annotation_corel/features/
annotation_corel/features/hsv16.mat
annotation_corel/features/hsv16saliency.mat
annotation_corel/features/lab16.mat
annotation_corel/features/lab16saliency.mat
annotation_corel/features/opp64.mat
annotation_corel/features/opp64sal.mat
annotation_corel/features/rg64.mat
annotation_corel/features/rg64sal.mat
annotation_corel/features/rgb16.mat
annotation_corel/features/rgb16saliency.mat
annotation_corel/GetchiSquareDist.m
annotation_corel/GetKLDist.m
annotation_corel/GetL1Dist.m
annotation_corel/GetL2Dist.m
annotation_corel/GetL2RegWeights.m
annotation_corel/GetLassoGroupWeights.m
annotation_corel/GetLassoImagePairsFromDist.m
annotation_corel/GetLassoImagePairsFromKeywords.m
annotation_corel/GetLassoWeights.m
annotation_corel/GetLSWeights.m
annotation_corel/Histogram2SimilarityMatrix.m
annotation_corel/imagelist.mat
annotation_corel/JEC.m
annotation_corel/JEC_SimMat.m
annotation_corel/keywords.mat
annotation_corel/LassoShooting.m
annotation_corel/negativePairs.mat
annotation_corel/positivePairs.mat
annotation_corel/process_options.m
annotation_corel/README.txt
annotation_corel/Test.m
annotation_corel/testidx.mat
annotation_corel/words
annotation_corel/ComputeSimilarity.m
annotation_corel/evalRetrieval.m
annotation_corel/ExtractFeature.m
annotation_corel/ExtractFeatures.m
annotation_corel/features/
annotation_corel/features/hsv16.mat
annotation_corel/features/hsv16saliency.mat
annotation_corel/features/lab16.mat
annotation_corel/features/lab16saliency.mat
annotation_corel/features/opp64.mat
annotation_corel/features/opp64sal.mat
annotation_corel/features/rg64.mat
annotation_corel/features/rg64sal.mat
annotation_corel/features/rgb16.mat
annotation_corel/features/rgb16saliency.mat
annotation_corel/GetchiSquareDist.m
annotation_corel/GetKLDist.m
annotation_corel/GetL1Dist.m
annotation_corel/GetL2Dist.m
annotation_corel/GetL2RegWeights.m
annotation_corel/GetLassoGroupWeights.m
annotation_corel/GetLassoImagePairsFromDist.m
annotation_corel/GetLassoImagePairsFromKeywords.m
annotation_corel/GetLassoWeights.m
annotation_corel/GetLSWeights.m
annotation_corel/Histogram2SimilarityMatrix.m
annotation_corel/imagelist.mat
annotation_corel/JEC.m
annotation_corel/JEC_SimMat.m
annotation_corel/keywords.mat
annotation_corel/LassoShooting.m
annotation_corel/negativePairs.mat
annotation_corel/positivePairs.mat
annotation_corel/process_options.m
annotation_corel/README.txt
annotation_corel/Test.m
annotation_corel/testidx.mat
annotation_corel/words
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