[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fkIVY6wSoF2t47OMSCLZevyukh7HqOQEng2oL5hqC-Uw":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2025-01-03 16:12:40",176053684,[8,9,10,11],"连通域分割","实例分割","语义分割","运动分割",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},122,"49fdbcb522d1c23cad56f543ae5a3941","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F25b30343053994e8940089572d36015b.jpg","计算机视觉应用开发","exam_147321614","计算机视觉应用开发模拟试卷","图像分割是对图像的理解,对图像进行像素级别的描述,根据需要解决的问题,将图像的每个像素点细分为不同的目标区域,下面这幅图像表达的是图像分割中的哪一种技术: \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fb98dcb6f5f8b23e855e731574b7fde52.png\">",[21,32,35,44,53,62,71,80,89,98],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],176053682,[25,26,27,28],"先下采样再进行高斯平滑","先上采样再进行高斯平滑","使用多次高斯平滑和下采样","不断地使用高斯平滑和上采样","图像金字塔中,高斯金字塔的降采样是如何实现的","v1",0,{"answer":33,"createTime":5,"id":6,"options":34,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":36,"createTime":37,"id":38,"options":39,"question":43,"source":30,"type":31},[],"2025-01-03 16:12:41",176053686,[40,41,42],"[1, 2, 3, 4, 5] [1, 2, 3, 4] [1, 2, 3, 4, 5]","[1, 2, 3, 4, 5] [1, 2, 3, 4, 5] [1, 2, 3, 4]","[1, 2, 3, 4, 5] [1, 2, 3, 4] [1, 2, 3, 4]","运行以下代码的结果是什么: a = [1, 2, 3, 4] c = a.copy() b = a a.append(5) print(a) ,print(b) ,print(c)",{"answer":45,"createTime":37,"id":46,"options":47,"question":52,"source":30,"type":31},[],176053688,[48,49,50,51],"中值滤波","双边滤波","均值滤波","高斯滤波","以下哪种滤波方法在去噪的同时能较好地保护图像边缘信息?( )",{"answer":54,"createTime":37,"id":55,"options":56,"question":61,"source":30,"type":31},[],176053690,[57,58,59,60],"只能计算闭合轮廓的周长","计算的是轮廓的近似周长","对于本身不闭合的轮廓,按照闭合计算轮廓周长","计算的是轮廓的精确周长","计算轮廓周长的函数 cv2.arcLength () 中,参数 closed 为 True 时表示( )",{"answer":63,"createTime":37,"id":64,"options":65,"question":70,"source":30,"type":31},[],176053692,[66,67,68,69],"目标和背景灰度差异大","目标和背景灰度差异小","所有类型","灰度均匀分布","图像阈值分割中,OTSU 算法适用于( )的图像",{"answer":72,"createTime":37,"id":73,"options":74,"question":79,"source":30,"type":31},[],176053694,[75,76,77,78],"进行图像匹配返回结果","返回 k 个最佳匹配","计算特征向量之间的距离","绘制匹配的点","cv2.BFMatcher 对象的 match () 方法的作用是什么",{"answer":81,"createTime":37,"id":82,"options":83,"question":88,"source":30,"type":31},[],176053696,[84,85,86,87],"尺寸是 2 的整数次幂","是 4 的整数倍尺寸","任意尺寸","奇数尺寸","在构建拉普拉斯金字塔之前,为避免出现奇数尺寸的问题,通常要求输入图像具有怎样的特性",{"answer":90,"createTime":37,"id":91,"options":92,"question":97,"source":30,"type":31},[],176053698,[93,94,95,96],"调整对比度","增加噪声","图像裁剪","增加亮度","在图像增广中,以下哪种操作可以使感兴趣的物体出现在不同位置,减轻模型对物体出现位置的依赖性?( )",{"answer":99,"createTime":37,"id":100,"options":101,"question":106,"source":30,"type":31},[],176053700,[102,103,104,105],"去噪效果变好,图像失真减轻","去噪效果变好,图像失真加重","去噪效果变差,图像失真加重","去噪效果变差,图像失真减轻","在均值滤波中,随着卷积核尺寸的增大,以下说法正确的是( )"]