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Color assessment of freeze-dried mushrooms using Photoshop and optimization with genetic algorithm

机译:使用Photoshop对冻干蘑菇进行颜色评估并用遗传算法进行优化

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摘要

An image analysis and optimization technique exploiting Photoshop software coupled with genetic algorithm (GA) for a food processing application has been explored. Color characteristics (L*, a*, b*, change in color, hue, and chroma) for freeze-dried mushrooms were determined. Mathematical models for predicting color characteristics of dried mushrooms with change in processing conditions were obtained using second order polynomials. Freeze-drying (FD) conditions were optimized by an evolutionary algorithm. Results indicated that the temperature of primary and secondary drying cycles during FD have a significant impact on color. The search for optimum process conditions manifesting minimum color variation in the dried product as compared with fresh mushroom samples was done. Optimized response for color change and chroma were obtained as 4.58 and 9.78, respectively, after a 10 h drying cycle. The models developed can be used to determine the drying time for desired product color and processing conditions of FD.
机译:已经探索了利用Photoshop软件结合遗传算法(GA)进行食品加工应用的图像分析和优化技术。确定了冻干蘑菇的颜色特征(L *,a *,b *,颜色,色相和色度变化)。使用二阶多项式获得了预测干燥蘑菇的颜色特征随加工条件变化的数学模型。通过进化算法优化了冷冻干燥(FD)条件。结果表明,FD期间第一和第二干燥循环的温度对颜色有显着影响。寻求与新鲜蘑菇样品相比干燥产品中颜色变化最小的最佳工艺条件。经过10小时的干燥循环后,获得的最佳变色和色度响应分别为4.58和9.78。开发的模型可用于确定所需产品颜色和FD加工条件的干燥时间。

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