In this paper, we propose dead pixel detection and compensation method using nonlinear estimator for infrared camera. Infrared camera has dead pixel that is abnormal output values due to complex factors such as manufacturing process, electronic parts and so on. Dead pixels are able to affect detecting a small target. So, It needs detection and Compensation process. However, after Compensation, some dead pixels are remained and detected by the human. They are soft dead pixel. The key idea of this proposed method, detecting soft dead pixels, is that design a nonlinear estimator using image data characteristics. This propose is able to not only detect soft dead pixels but also pixel Compensation that reflects infrared camera output characteristics well.

This study was conducted to find out the bakery processing suitability of maca and to develop rice-based processed foods. We investigated the antioxidant activity and physicochemical properties of rice cookies prepared with the addition of maca (Lepidium meyenii) powder (1%, 2%, 3%, and 4% of the total materials). We observed an increase in the total polyphenol and flavonoid content, and DPPH-ABTS+ radical scavenging activity of the rice cookies as the proportion of added maca powder increased (p<0.05). The quality characteristics such as the “a” value, “b” value, and the hardness of the cookies increased with an increase in the proportion of maca powder (p<0.05) in the cookie, whereas the moisture content, pH of the dough, spread ratio, loss rate, leavening rate, and “L” values showed a significant decrease (p<0.05). In the sensory evaluation results, consumer acceptability showed a significantly higher value in the 2% maca cookie group (p<0.05), and the characteristic intensity rating (color, flavor, bitterness) increased as the proportion of maca added to the cookie increased (p<0.05). Therefore, this suggests that adding 2% maca powder as the functional ingredient in rice cookies can result in rice bakery products with excellent qualities.

This study sought to investigate the effects of heat-moisture treatment (HMT) and ethanol treatment (EOH) for improving the quality and storage stability of Tteokbokki Tteok. The quality characteristics were evaluated by moisture, pH, color, texture profile analysis, and observing the microbial properties after the heat-moisture treatment or ethanol treatment. As the storage period increased, the moisture content of Tteokbokki Tteok tended to decrease except for the HMT group (p<0.05) while the pH did not show significant variation except for the EOH group (p<0.05). While measuring the color, the L-value tended to increase in all groups during the storage period. The a-value and the b-value showed the highest values in the HMT group and the control (CON) group, respectively. In the texture profile analysis, all groups showed a significant tendency to increase levels of hardness and chewiness as the storage period increased (p<0.05). The HMT group showed an increase in hardness and adhesiveness, which are characteristics of the HMT treatment. The results of examining the microbial properties of Tteokbokki Tteok showed that the total microbial count in the HMT group was 4.52 on the 8th day of storage, which was lower than the level in the CON group and the EOH group on the 4th day of storage. Yeast and mold were not measured during the storage period. Thus the results of this study showed that when manufacturing Tteokbokki Tteok, the heat-moisture treatment of rice powder increased the storage stability by delaying microbial growth and also had positive effects on quality.