Abstract
Content Based Image Retrieval method used to match an image query with the existing image in the database and or the image on the internet. Similarity measurements are performed using the Euclidean distance function. The image to be used is an image with JPEG format. The use of image or image feature in searching for image in a database and or internet cannot be avoided, this is because searching the image by using keyword or text is very biased and the result is far from the expectation. Search engine-like used to monitor the numbers and detect the presence of new types of fauna and flora in Indonesia. Image searching was carried out by using shape features. Search engine-like is expected also to be developed into image based search engine using CBIR method. In this work we used not less than 5,000 flora and fauna images. From the experiments, it can be concluded that the effectiveness of image retrieval is quite good in term of precision and recall.
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Acknowledgment
We would like to thank to the Directorate General of Higher Education, Republic of Indonesia for supporting and funding with Hibah Produk Terapan fund. We also thank to the Research Center of Darmajaya Informatics and Business Institute for providing guiding and allowing us to use their laboratory to finish our work.
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Irianto, S.Y., Yuliawati, D., Karnila, S. (2019). Image Based Search Engine - Like Using Color and Shape Features. In: Tavares, J., Natal Jorge, R. (eds) VipIMAGE 2019. VipIMAGE 2019. Lecture Notes in Computational Vision and Biomechanics, vol 34. Springer, Cham. https://doi.org/10.1007/978-3-030-32040-9_15
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DOI: https://doi.org/10.1007/978-3-030-32040-9_15
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