创建一个大型象征使用修改后的版本的图像“tumor_091.tif”from the CAMELYON16 data set. The original image is a training image of a lymph node containing tumor tissue. The original image has eight resolution levels, and the finest level has resolution 53760-by-61440. The modified image has only three coarse resolution levels. The spatial referencing of the modified image has been adjusted to enforce a consistent aspect ratio and to register features at each level.

bim = bigimage('tumor_091r.tif'）；

创建一个Bigimimagedatastore这可以在最佳的分辨率级别管理大图。

bimds = bigimageDatastore(bim,1)

bimds = bigimageDatastore with properties: ReadSize: 1 BorderSize: [0 0] PadMethod: 0 Images: [1x1 bigimage] Levels: 1 BlockSize: [1024 1024] BlockOffsets: [1024 1024] IncompleteBlocks: 'same' BlockLocationSet: [1x1 blockLocationSet]

Change the“读取尺寸”数据存储的属性3。

bimds.ReadSize = 3;

从数据存储器中读取一批图像数据。

[数据，信息] =读（bimds）;

将返回的图像数据显示在每个图像周围的黑色边框的蒙太奇中。蒙太奇表明，数据存储在行订单中读取大图的块。

montage(data,'尺寸'，，，，[[1 3],“边界”，10）

显示有关返回数据的信息。

信息

信息=带有字段的结构：等级: [1 1 1] ImageNumber: [1 1 1] BlockStartWorld: [3x2 double] BlockEndWorld: [3x2 double] DataStartWorld: [3x2 double] DataEndWorld: [3x2 double]

检查每个返回的数据块的左上像素的中心的（x，y）坐标。

info.blockstartworld

ans =3×21 1 1025 1 2049 1