官术网_书友最值得收藏!

Enlarging and shrinking a region of interest

A very common technique for refining a region of interest derived using thresholding is either enlarging or shrinking it to fit our target size. This can be accomplished by the morphological operations called dilation and erosion, respectively. These operations can be implemented in MATLAB using their respective functions, intuitively named imdilate and imerode.

Explaining and analyzing the mathematical properties of dilation and erosion lie beyond the scope of this book. We will instead explain their significance using practical examples that demonstrate their importance for image processing. The basic idea that you have to understand before we start, is that the two operations can be used for enlarging or shrinking an ROI (denoted by the instances of 1 in the image) using a structuring element. Structuring elements can be small binary images generated by the user either arbitrarily (placing the instances of 1 and 0 in a small image), or by using the strel function. The choice of a structuring element should be made following two simple rules:

  • The larger the structuring element, the larger the enlarging/shrinking factor
  • Using a structuring element more similar to the shape of the ROI will typically give you a better result

Let's dive right in, to understand the physical meaning of all these concepts in practice.

主站蜘蛛池模板: 合川市| 平昌县| 许昌县| 高阳县| 顺平县| 延长县| 合阳县| 洪雅县| 新兴县| 吉安市| 铜陵市| 天台县| 广平县| 南充市| 湖口县| 平乡县| 梓潼县| 从化市| 图木舒克市| 兰溪市| 称多县| 荃湾区| 宜章县| 互助| 岳西县| 惠来县| 葵青区| 溧阳市| 通江县| 临潭县| 广昌县| 新田县| 禄丰县| 澳门| 柞水县| 雅江县| 丰原市| 读书| 辽中县| 原平市| 张北县|