IFSC/USP at ImageCLEF 2011: Plant Identication Task
نویسندگان
چکیده
The leaves are one of the most important main sources used for plant identification. Because of this the ImageCLEF 2011 proposed a challenge based on leaf analysis for plant identification. This paper reports the experiment results of the IFSC/USP team in participating of this task. The main goal is investigate the performance of Complex Network method for feature extraction and classification of plant species. The achieved results are promising and can help the botanists in the future.
منابع مشابه
Participation of INRIA & Pl@ntNet to ImageCLEF 2011 Plant Images Classification Task
This paper presents the participation of INRIA IMEDIA group and the Pl@ntNet project to ImageCLEF 2011 plant identification task. ImageCLEF’s plant identification task provides a testbed for the system-oriented evaluation of tree species identification based on leaf images. The aim is to investigate image retrieval approaches in the context of crowdsourced images of leaves collected in a collab...
متن کاملSabanci-Okan System at ImageClef 2011: Plant Identification Task
We describe our participation in the plant identification task of ImageClef 2011. Our approach employs a variety of texture, shape as well as color descriptors. Due to the morphometric properties of plants, mathematical morphology has been advocated as the main methodology for texture characterization, supported by a multitude of contour-based shape and color features. We submitted a single run...
متن کاملThe CLEF 2011 Plant Images Classification Task
ImageCLEF’s plant identification task provides a testbed for the system-oriented evaluation of tree species identification based on leaf images. The aim is to investigate image retrieval approaches in the context of crowdsourced images of leaves collected in a collaborative manner. This paper presents an overview of the resources and assessments of the plant identification task at ImageCLEF 201...
متن کاملDAEDALUS at ImageCLEF 2011 Plant Identification Task: Using SIFT Keypoints for Object Detection
This paper describes the participation of DAEDALUS at ImageCLEF 2011 Plant Identification task. The task is evaluated as a supervised classification problem over 71 tree species from the French Mediterranean area used as class labels, based on visual content from scan, scan-like and natural photo images. Our approach to this task is to build a classifier based on the detection of keypoints from...
متن کاملRMIT at ImageCLEF 2011 Plant Identification
This paper presents the contribution of the ISAR group at RMIT University to the ImageCLEF 2011 Plant identification task. The task involves identifying various different species of trees based on images of their leaves. Our main objective is to investigate the performance of two classification algorithms in associating the correct tree species to each test image. We extracted visual features f...
متن کامل