[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fKryUQPpnS4bIX7_etlpEbwKIQrtThkLRB_cGDT0bOUo":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":27,"type":28},[],"2023-11-05 23:46:39",103385178,[8,9,10,11],"直方图均衡化","低频加强","图像均匀加亮","中值滤波",{"courseId":13,"courseImg":14,"courseName":15},"5f60020b3ac79c0677d7fc1f2eb6c4f6","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F25b30343053994e8940089572d36015b.jpg","数字图像处理与模式识别","高频增强滤波器由于相对削弱了低频成分,因而滤波所得的图像往往偏暗,对比度差,所以常常需要在滤波后进行()",[18,29,38,47,56,59,68,78,87,96],{"answer":19,"createTime":5,"id":20,"options":21,"question":26,"source":27,"type":28},[],103385169,[22,23,24,25],"一幅二值图像","一幅灰度图像","一幅复数图像","一幅彩色图像","一幅二值图像的傅里叶变换频谱是","v1",0,{"answer":30,"createTime":5,"id":31,"options":32,"question":37,"source":27,"type":28},[],103385172,[33,34,35,36],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F8c442fafdd7fd63a607e4293bca82a78.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fa58a0eb5297fad86f4fa3959bd9a2e02.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fe0167cd33a366b14f8126940624bc639.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F81888c3267a427e63b979f741200fa68.png\">","想要降低图像中的噪声,下列频域计算中的( )效果好一些",{"answer":39,"createTime":5,"id":40,"options":41,"question":46,"source":27,"type":28},[],103385175,[42,43,44,45],"基于像素的图像增强方法是一种线性灰度变换","基于像素的图像增强方法是基于空间域的图像增强方法的一种","基于频域的图像增强方法由于常常用到傅里叶变换和反变换,所以总比基于图像域的方法计算复杂度高","基于像素的图像增强方法比基于空域的图像增强方法效果好","下面说法正确的是",{"answer":48,"createTime":5,"id":49,"options":50,"question":55,"source":27,"type":28},[],103385177,[51,52,53,54],"快变化量","慢变化量","水平变化量","垂直变化量","一幅灰度图像进行二维离散傅里叶变换后的频谱图中,最亮部分对应着原始图像的()",{"answer":57,"createTime":5,"id":6,"options":58,"question":16,"source":27,"type":28},[],[8,9,10,11],{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":27,"type":28},[],103385179,[63,64,65,66],"低通滤波,平滑;高通滤波;锐化","低通滤波,锐化;高通滤波;平滑","低通滤波,平滑;中低通滤波;锐化","低通滤波,锐化;中低通滤波;平滑","在频率域滤波中,保留图像低频部分抑制高频部分的处理称为(),起到()作用. 保留图像高频部分抑制低频部分的处理称为(),起到()作用",{"answer":69,"createTime":70,"id":71,"options":72,"question":77,"source":27,"type":28},[],"2023-11-05 23:46:40",103385180,[73,74,75,76],"低通;高通;带通","低通;中通;频通","低通;空域;高通","低通;平滑;噪声","按照信号处理理论,根据滤波的频率特性,滤波有三种",{"answer":79,"createTime":70,"id":80,"options":81,"question":86,"source":27,"type":28},[],103385181,[82,83,84,85],"带通滤波器、带阻滤波器","带阻滤波器","陷波滤波器","带通滤波器、带阻滤波器、陷波滤波器","图像的周期性噪声通过是由图像采集过程中的电子或机电干扰,可以通过( )滤波减小或去除",{"answer":88,"createTime":70,"id":89,"options":90,"question":95,"source":27,"type":28},[],103385182,[91,92,93,94],"图像锐化","图像去噪","图像对比度增强","亮度减弱","下图1是一幅标准测试图像Lena图,对图像进行处理后,形成的结果图像如图2所示,这是如何处理得到的?() \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fa9aea302be45b9113c37014ab1689382.png\">",{"answer":97,"createTime":70,"id":98,"options":99,"question":101,"source":27,"type":28},[],103385187,[91,92,100,93],"图像亮度减弱","下图1是一幅标准测试图像Lena图,对图像进行处理后,形成的结果图像如图2所示,这是如何处理得到的?() \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1b4ff3b5c1d2e9510ae75ec87d43cec7.png\">"]