Disruptive coloration, crypsis and edge detection in early visual processing
Disruptive coloration, crypsis and edge detection in early visual processing
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DOI：
10.1098/rspb.2006.3556
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发表时间：
2006-09-07
影响因子：
4.7
通讯作者：
Cuthill, Innes C.
中科院分区：
文献类型：
--
作者：
Stevens, Martin;Cuthill, Innes C.
许多动物使用隐藏标记来降低被捕食的风险。其中包括背景图案匹配（隐秘），其中颜色与背景和破坏性图案的随机样本相匹配，其有效性被假设在于将身体分解成一系列明显不相关的物体。我们之前已经确定了破坏性色彩对鸟类捕食者的有效性，使用人工飞蛾类刺激物，其颜色旨在与鸟类感知的自然背景相匹配。在这里，我们研究了破坏性模式降低可检测性的机制，使用边缘检测的计算视觉模型应用于我们的实验刺激照片，并针对鸟类色觉进行校准。我们证明，通过利用我们用来模拟早期视觉处理的边缘检测算法，破坏性着色是有效的。因此，在体内而不是在其外围检测到“错误”边缘，从而抑制了动物身体轮廓的成功检测。
Many animals use concealing markings to reduce the risk of predation. These include background pattern matching (crypsis), where the coloration matches a random sample of the background and disruptive patterns, whose effectiveness has been hypothesized to lie in breaking up the body into a series of apparently unrelated objects. We have previously established the effectiveness of disruptive coloration against avian predators, using artificial moth-like stimuli with colours designed to match natural backgrounds as perceived by birds. Here, we investigate the mechanism by which disruptive patterns reduce detectability, using a computational vision model of edge detection applied to photographs of our experimental stimuli, calibrated for bird colour vision. We show that, disruptive coloration is effective by exploiting edge detection algorithms that we use to model early visual processing. Thus, 'false' edges are detected within the body rather than at its periphery, so inhibiting successful detection of the animal's body outline.