图像算法计数对象 [英] Counting object on image algorithm

问题描述

我再次得到了学校的任务。这个时候，我的老师给我的任务创建的算法对图像计算有多少只鸭子。

I got school task again. This time, my teacher gave me task to create algorithm to count how many ducks on picture.

该画面是与此类似：

我想我应该用模式识别为它寻找有多少只鸭子。但我不知道哪个模式匹配为每个鸭。

I think I should use pattern recognition for searching how many ducks on it. But I don't know which pattern match for each duck.

推荐答案

这里有一种方法：

Hough变换的圆：

Hough transform for circles:

• 在初始化累加器数组索引（X，Y，半径）
• 对于每个像素：
  • 计算的边缘（如Sobel算子将同时提供大小和方向），如果幅度超过某个阈值，则：
    • 在每次加为蓄电池此边缘可能可能借证（只（X，Y）的边缘的方向，min_duck_radius和max_duck_radius之间只有半径）
    • Initialize an accumulator array indexed by (x,y,radius)
    • For each pixel:
      • calculate an edge (e.g. Sobel operator will provide both magnitude and direction), if magnitude exceeds some threshold then:
        • increment every accumulator for which this edge could possibly lend evidence (only the (x,y) in the direction of the edge, only radii between min_duck_radius and max_duck_radius)

        所以这是非常简洁的，但它可以让你开始。

        So that's very terse, but it can get you started.

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