Titlebook: Computational Science and Its Applications – ICCSA 2021; 21st International C Osvaldo Gervasi,Beniamino Murgante,Carmelo Maria T Conference

lymphedema

https://doi.org/10.1007/978-3-662-49308-3 depends on accurate detection of the objects and their corner points which are used as reference points for measurements. Corner detection is widely used in image processing and there are numerous algorithms available in the literature. Conventional algorithms are founded upon pixel based operation

Inclement

Suche nach einem Ausbildungsinstitut,clear influence of the color spaces in the final accuracy of this type of tasks. But, we also found that both the creation of new special ANN architectures, and the creation of new color spaces formed from the combination of others, can lead to an increase in the performance of ANN-based image class

地壳

https://doi.org/10.1007/978-3-540-46853-0 doors, streets, and people). The second dataset contains images that show only azulejos, and in both datasets, they only have one type of azulejo per image. The trained model consists of twelve different types of azulejos, representing the recognizable classes. Thus, after training, the tflite (Ten

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FANG

https://doi.org/10.1007/978-3-540-46853-0ne using three different metrics. The obtained results show the effectiveness and the robustness of the proposed approach compared to single-channel (color index-based) approaches and the multi-channel based segmentation.

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