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Bone Fragment Detection in Chicken Breast Fillets using Back-Illuminated Structured Light

机译:骨片段在鸡胸肉圆角中使用后照明结构光检测

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This paper is concerned with the detection of bone fragments embedded in de-boned skinless chicken breast fillets using transmittance optical imaging at the visible and near-infrared (VIS/NIR) wavelength range. Naturally occurring materials on the surface of breast meat, such as fats and connective tissues, often hinder the detection of bone because these materials' transmittance values at the VIS/NIR wavelenqth range are very similar to embedded bones. Transmittance images of chicken breast filletsalso suffer from blurring and noise, and thus a low contrast, due to strong multiple-scattering properties of the fillets. For a feasibility test, sample thickness was controlled to be 7-cm thickness by a compressed sample holder. Multi-imaging modes (transmittance/reflectance/both sides of sample) were studied to find the best possible images showing bones. A structured line light source with a transmittance mode was utilized to exploit unique scattering patterns characteristic of embedded bones. The study found that bones in 1-cm thick compressed samples were detectable when the multi-modes of imaging were fused in the final decision making. Experimental results with chicken breast samples and bone fragments are provided.
机译:本文涉及使用在可见光和近红外(VI / NIR)波长范围内的透射光学成像嵌入嵌入的脱脂鸡胸肉圆角中嵌入的骨片段的检测。天然存在于乳腺肉表面的材料,如脂肪和结缔组织,经常阻碍骨的检测,因为这些材料在VI / NIR波兰气柱范围内的透射值与嵌入式骨骼非常相似。由于圆角的强多散射性能,鸡胸肉碎片碎片的透射率图像患有模糊和噪声,因此是一种低对比度。对于可行性测试,通过压缩样品保持器控制样品厚度为7厘米。研究了多映像模式(样本的透射率/反射率/两侧),以找到显示骨骼的最佳图像。利用具有透射率模式的结构化线光源来利用嵌入式骨骼的独特散射模式。该研究发现,当在最终决策中融合的多种成像时,可检测到1cm厚压缩样品中的骨骼。提供了鸡胸肉和骨碎片的实验结果。

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