Tensor voting is a computational framework that addresses the problem of perceptual
organisation. It was designed to convey human perception principles into a unified …

In this paper, a novel approach is proposed for perceptual grouping and localization of ill-
defined curvilinear structures. Our approach builds upon the tensor voting and the iterative …

Grouping processes, which “organize” a given data by eliminating the irrelevant items and
sorting the rest into groups, each corresponding to a particular object, can provide reliable …

This paper proposes two alternative formulations to reduce the high computational
complexity of tensor voting, a robust perceptual grouping technique used to extract salient …

张量投票方法根据平滑度, 邻近度及连续性原则收集邻域内其他点的张量信息,
从而提取各种几何结构, 对噪声数据具有较强的稳健性. 通过分析球形张量投票结果 …

Perceptual organisation techniques aim at mimicking the human visual system for extracting
salient information from noisy images. Tensor voting has been one of the most versatile of …

Perceptual analysis is an interesting topic in the field of image processing, and can be
considered a missing link between image processing and human vision. Of the various …

In this paper, a processing chain is proposed for enhancing larger‐scale building structures
in magnetometer data using the continuous wavelet transform for extracting the horizontal …

This thesis focuses on the development of new robust image analysis techniques more
closely related to the way the human visual system behaves. One of the pillars of the thesis …

Edges and structures are a critical part for natural images, which can help to improve the
overall quality of the reconstructed image. In tasks like object removal, image inpainting or …