matlab 图像的扫描显示

最新推荐文章于 2023-02-08 15:37:40 发布

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最新推荐文章于 2023-02-08 15:37:40 发布 · 置顶 · 4.7k 阅读

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#matlab #image #numbers #tiff #methods

在MATLAB中尝试图像的扫描显示时遇到问题，初始方法导致错误提示：TrueColor CData contains element out of range 0.0 <= value <= 1.0。通过查阅文档了解到，imread读取的8位图像数据需作为uint8数组处理，而非double。程序中定义的变量是double，导致不匹配。解决方案是将double数组转换为uint8。修正后的代码成功实现了逐行赋值并显示图像。

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本以为MATLAB的图像扫描显示很简单，先创建一个三维数组A，全部赋值为255（显示为白色），然后读入图像数组B，将B的元素逐行赋值给A,每赋值一次，显示A一次，中间停顿0.01秒即可。想得简单，做起来必然复杂，程序完成后，提示：Error using ==> image
TrueColor CData contains element out of range 0.0 <= value <= 1.0。imshow()函数可以运行，但完全不是我想要的结果，百思不得其解，那是个崩溃啊。做了半天无用空，决定还是从MATLAB的文档看起，help image,选中doc image,看了一眼，立刻有所醒悟：
When you read image data into MATLAB using imread, the data is usually stored as an array of 8-bit integers. However, imread also supports reading 16-bit-per-pixel data from TIFF and PNG files. These are more efficient storage methods than the double-precision (64-bit) floating-point numbers that MATLAB typically uses. However, it is necessary for MATLAB to interpret 8-bit and 16-bit image data differently from 64-bit data. This table summarizes these differences.

Image TypeDouble-Precision Data

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