Abstract

Ridges (resp., valley) are the useful geometric features due to their wide varieties of applications, mainly in image analysis problems such as object detection, image segmentation, scene understanding, etc. Many characterizations have contributed to formalize the ridge notion. The signification of each characterization rely however on its actual application. The objective analysis of ridge characterized as thin and complex image structure is thus essentially important, for choosing which parameter’s values correspond to the suitable configuration to obtain accurate results and optimal performance. In this article an extensive analysis followed by a supervised and objective comparison of different filtering-based ridge detection techniques is led. Furthermore, the optimal parameter configuration of each filtering techniques aimed for image salient feature analysis tool have been objectively investigated, where each chosen filter’s parameters corresponds to the width of the desired ridge or valley. At last, the comparative evaluations and analysis results are reported on both synthetic images, distorted with various types of noises and real images.

中文翻译：

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图像过滤技术的脊检测：回顾和客观分析

摘要

脊（或谷）是有用的几何特征，因为它们具有广泛的应用，主要用于图像分析问题，例如目标检测、图像分割、场景理解等。许多表征有助于将脊概念形式化。然而，每个表征的含义取决于其实际应用。因此，对特征为薄而复杂的图像结构的脊进行客观分析，对于选择与合适的配置相对应的参数值以获得准确的结果和最佳的性能至关重要。在本文中，进行了广泛的分析，然后对不同的基于过滤的脊检测技术进行了监督和客观的比较。此外，客观地研究了针对图像显着特征分析工具的每种过滤技术的最佳参数配置，其中每个选择的过滤器的参数对应于所需的脊或谷的宽度。最后，报告了两种合成图像的比较评估和分析结果，各种类型的噪声和真实图像失真。