WtL2通过轮廓追踪实现红外与可见光图像的精细分割
Walk the Lines 2: Contour Tracking for Detailed Segmentation
- 用轮廓追踪替代传统NMS，逐像素优化闭合轮廓
- 在红外船体和多种可见光物体上实现高精度分割，峰值IoU优异
- 适合需要细节分割的特定场景，如军事目标识别
本文提出Walk the Lines 2（WtL2），一种专为红外（IR）船舶及各类可见光（RGB）物体精细分割设计的轮廓追踪算法。该方法扩展了原始的WtL仅针对彩色图像中船舶精细分割的能力，现可处理红外图像中的船舶以及可见光图像中多类目标。通过将输入的物体轮廓检测器适配至红外船舶，并增强算法以处理广泛的可见光对象，WtL2利用轮廓追踪取代标准非极大值抑制（NMS），持续细化物体轮廓直至形成1像素宽的闭合形状，从而生成可分割的前景-背景区域。实验表明，该方法在生成闭合轮廓时优于最新一代基于轮廓的方法，在保持高交并比（IoU）的同时展现惊人细节。这使WtL2成为需要精细分割或高质量样本的特殊应用中的有力工具，有望推动多个图像分割细分领域的发展。
原文摘要 · Abstract (English)
This paper presents Walk the Lines 2 (WtL2), a unique contour tracking algorithm specifically adapted for detailed segmentation of infrared (IR) ships and various objects in RGB.1 This extends the original Walk the Lines (WtL) [12], which focused solely on detailed ship segmentation in color. These innovative WtLs can replace the standard non-maximum suppression (NMS) by using contour tracking to refine the object contour until a 1-pixel-wide closed shape can be binarized, forming a segmentable area in foreground-background scenarios. WtL2 broadens the application range of WtL beyond its original scope, adapting to IR and expanding to diverse objects within the RGB context. To achieve IR segmentation, we adapt its input, the object contour detector, to IR ships. In addition, the algorithm is enhanced to process a wide range of RGB objects, outperforming the latest generation of contour-based methods when achieving a closed object contour, offering high peak Intersection over Union (IoU) with impressive details. This positions WtL2 as a compelling method for specialized applications that require detailed segmentation or high-quality samples, potentially accelerating progress in several niche areas of image segmentation.
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