Superpixel Hierarchy

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چکیده

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Superpixel Hierarchy

Superpixel segmentation is becoming ubiquitous in computer vision. In practice, an object can either be represented by a number of segments in finer levels of detail or included in a surrounding region at coarser levels of detail, and thus a superpixel segmentation hierarchy is useful for applications that require different levels of image segmentation detail depending on the particular image o...

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Superpixel segmentation showed to be a useful preprocessing step in many computer vision applications. This led to a variety of algorithms to compute superpixel segmentations, each with individual strengths and weaknesses. We discuss the need for a standardized evaluation scheme of such algorithms and propose a benchmark including data sets, error metrics, usage guidelines and an open source im...

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Color constancy algorithms are generally based on the simplified assumption about the spectral distribution or the reflection attributes of the scene surface. However, in reality, these assumptions are too restrictive. The methodology is proposed to extend existing algorithm to applying color constancy locally to image patches rather than globally to the entire images. In this paper, a method b...

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In recent years, superpixel algorithms have become a standard tool in computer vision and many approaches have been proposed. However, different evaluation methodologies make direct comparison difficult. We address this shortcoming with a thorough and fair comparison of thirteen state-of-the-art superpixel algorithms. To include algorithms utilizing depth information we present results on both ...

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ژورنال

عنوان ژورنال: IEEE Transactions on Image Processing

سال: 2018

ISSN: 1057-7149,1941-0042

DOI: 10.1109/tip.2018.2836300