Abstract: This work presents a sky and ground segmentation approach in digital images using the supervised Support Vector Machine (SVM) algorithm based on Whiteness and Blueness indexes, Local Binary Patterns, and Extended morphological profile features.
Apr 30, 2021 · This paper proposes a solution for sky segmentation in RGB images using a supervised Machine Learning approach by first splitting the image into ...
This work presents a sky and ground segmentation approach in digital images using the supervised Support Vector Machine (SVM) algorithm based on Whiteness ...
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Abstract - This work presents a sky and ground segmentation approach in digital images using the supervised Support Vector. Machine (SVM) algorithm based on ...
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Automatically determining which pixels in an image view the sky, the problem of sky segmentation, is a critical pre- processing step for a wide variety of ...
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Aug 16, 2022 · [13] proposed a threshold-free superpixel approach to nighttime sky/cloud image segmentation. In recent years, deep convolutional neural network ...
Oct 21, 2021 · This research proposes a sky and ground segmentation framework for the rover navigation visions by adopting weak supervision and transfer ...
... In this section, simulations have been made to assess the performance of the proposed solar meridian extraction methods and compare them with the solar ...