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图像分割是计算机视觉中的一项关键技术，其研究背景涵盖了多个应用领域。在医学影像分析中，图像分割用于自动提取解剖结构、病灶区域以及其他重要特征，从而辅助医生进行诊断和治疗规划。例如，在MRI和CT图像中，精确的器官或肿瘤分割能够帮助确定病变位置、体积和发展趋势，从而提高治疗效果。此外，在自动驾驶领域，图像分割技术用于实时识别道路、车辆、行人等关键元素，确保自动驾驶系统的安全性和可靠性。在卫星遥感领域，图像分割被广泛应用于土地覆盖分类、环境监测、灾害评估等方面，通过对地表图像的精细分割，科研人员能够更好地 分析地球环境变化。在工业制造中，图像分割用于产品质量检测，通过精确分割工件边缘和表面特征，可以实现缺陷检测和尺寸测量，提升生产效率和产品质量。随着深度学习技术的快速发展，图像分割技术在各个…
☆28May 1, 2025Updated 9 months ago
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