[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fmy6M0TH2dBfn3c2ObvfGxGk8-3sCiB6K-dGvhMgnM_o":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":28,"type":29},[],"2023-11-05 23:46:40",103385187,[8,9,10,11],"图像锐化","图像去噪","图像亮度减弱","图像对比度增强",{"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","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\">",[18,30,39,48,57,66,75,84,93,99],{"answer":19,"createTime":20,"id":21,"options":22,"question":27,"source":28,"type":29},[],"2023-11-05 23:46:39",103385169,[23,24,25,26],"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":31,"createTime":20,"id":32,"options":33,"question":38,"source":28,"type":29},[],103385172,[34,35,36,37],"\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":40,"createTime":20,"id":41,"options":42,"question":47,"source":28,"type":29},[],103385175,[43,44,45,46],"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":49,"createTime":20,"id":50,"options":51,"question":56,"source":28,"type":29},[],103385177,[52,53,54,55],"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":58,"createTime":20,"id":59,"options":60,"question":65,"source":28,"type":29},[],103385178,[61,62,63,64],"直方图均衡化","低频加强","图像均匀加亮","中值滤波","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()",{"answer":67,"createTime":20,"id":68,"options":69,"question":74,"source":28,"type":29},[],103385179,[70,71,72,73],"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":76,"createTime":5,"id":77,"options":78,"question":83,"source":28,"type":29},[],103385180,[79,80,81,82],"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":85,"createTime":5,"id":86,"options":87,"question":92,"source":28,"type":29},[],103385181,[88,89,90,91],"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":94,"createTime":5,"id":95,"options":96,"question":98,"source":28,"type":29},[],103385182,[8,9,11,97],"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":100,"createTime":5,"id":6,"options":101,"question":16,"source":28,"type":29},[],[8,9,10,11]]