[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fn9ATdacyfLLE5MmDjVNJKfxX3j4dAlqPwXnVjFWEtr4":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":16,"related":17,"source":27,"type":32},[],"2023-05-09 06:01:05",897298091,[8,9],"对","错",{"courseId":11,"courseImg":12,"courseName":13,"workId":14,"workName":15},"1000007268","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F37ec78b0249ef8c63c99d985fd3a8ec4.jpg","“教”计算机处理图片","41767483","“教”计算机处理图片教程考试","采样所获得的图像总像素的多少,通常称为图像分辨率",[18,29,33,38,47,57,66,75,84,89],{"answer":19,"createTime":5,"id":20,"options":21,"question":26,"source":27,"type":28},[],897298089,[22,23,24,25],"分裂合并","哈夫变换","边缘检测","阈值分割","以下分割方法中属于区域算法的是","v2",1,{"answer":30,"createTime":5,"id":6,"options":31,"question":16,"source":27,"type":32},[],[8,9],3,{"answer":34,"createTime":5,"id":35,"options":36,"question":37,"source":27,"type":32},[],897298094,[8,9],"灰度图像的形态学处理同样包括灰度级膨胀、灰度级腐蚀、灰度级开和闭运算",{"answer":39,"createTime":5,"id":40,"options":41,"question":46,"source":27,"type":28},[],897298095,[42,43,44,45],"可以检测阶梯状边缘","可以消除随机噪声","总产生双像素宽边缘","总需要两个模板","关于梯度算子说法正确的是",{"answer":48,"createTime":5,"id":49,"options":50,"question":55,"source":27,"type":56},[],897298102,[51,52,53,54],"图像增强","图像锐化","图像分割","腐蚀","图像的形态学处理方法包括",0,{"answer":58,"createTime":5,"id":59,"options":60,"question":65,"source":27,"type":56},[],897298112,[61,62,63,64],"多幅图像均值","平滑运算","中值滤波","边缘增强","可完成消除点或细线状噪声的操作是",{"answer":67,"createTime":5,"id":68,"options":69,"question":74,"source":27,"type":56},[],897298118,[70,71,72,73],"直接检测图像边缘","与罗伯特算子结合后检测图像边缘","已知边缘像素后确定该像素在图像的明区或暗区","检测图像中梯度的方向","拉普拉斯算子主要用于",{"answer":76,"createTime":5,"id":77,"options":78,"question":83,"source":27,"type":56},[],897298122,[79,80,81,82],"均值滤波","图像二值化","灰度线性变换","直方图均衡化","下列算法中属于局部处理的是",{"answer":85,"createTime":5,"id":86,"options":87,"question":88,"source":27,"type":32},[],897298133,[8,9],"对二值图像的开运算可以使得图像中物体的边缘轮廓变得光滑,而闭运算不能",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":27,"type":28},[],897298140,[93,94,95,96],"有助于从概念上增强对图像信息的理解","将图像转换成更利于机器分析的形式","有利于图像特征提取","使图像处理问题简化","在数字图像处理中,图像正交变换的目的在于"]