• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.7
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• pp.2938-2956
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• 2020

Objective image quality assessment (IQA) models have been developed by effective features to imitate the characteristics of human visual system (HVS). Actually, HVS is extremely sensitive to color degradation and complex texture changes. In this paper, we firstly reveal that many existing full reference image quality assessment (FR-IQA) methods can hardly measure the image quality with contrast and masking texture changes. To solve this problem, considering texture masking effect, we proposed a novel FR-IQA method, called Texture and Color Quality Index (TCQI). The proposed method considers both in the masking effect texture and color visual perceptual threshold, which adopts three kinds of features to reflect masking texture, color difference and structural information. Furthermore, random forest (RF) is used to address the drawbacks of existing pooling technologies. Compared with other traditional learning-based tools (support vector regression and neural network), RF can achieve the better prediction performance. Experiments conducted on five large-scale databases demonstrate that our approach is highly consistent with subjective perception, outperforms twelve the state-of-the-art IQA models in terms of prediction accuracy and keeps a moderate computational complexity. The cross database validation also validates our approach achieves the ability to maintain high robustness.

• Korean journal of food and cookery science
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• v.17 no.2
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• pp.149-155
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• 2001

Namul cooked with the standard recipe was examined by research of microbiological test for three months and sensory evaluation of frozen namul after reheating. When the namul was freezed storage, in the microbiological test namul began to change on the 40th day, but there was no problem about stability of storage until 3 months. The overall qualities of taste, flavor, color and texture were examined by sensory evaluation of frozen namul after reheating. The pH was seemed to change slowly, its color was changed on the 20th day from the beginning of storage. Radish root represented substantial difference in texture and overall quality on the 20th day. The off-flavor of immature pumpkin stated on the 25th day. Later 10days nettle tree mushroom began to be changed in its taste, texture, overall quality and appearance, then on the 25th day it was seemed to have low preference. But oak mushroom kept its quality good for 25 days. Oyster mushroom was changed in color, appearance and overall quality on the 20th day. Bracken had low preference in taste, texture and moisture on the 25th day. The color of spinach was changed on the 15th day, and its taste on the 20th day. Soybean sprout was changed in taste, texture and overall quality on the 15th day, and overall quality marked low preference on the 25th day Root of bell flower was changed on the 25th day(p<0.05).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.4043-4064
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• 2021

Night-time image quality evaluation is an urgent requirement in visual inspection. The lighting environment of night-time results in low brightness, low contrast, loss of detailed information, and colour dissonance of image, which remains a daunting task of delicately evaluating the image quality at night. A new blind quality assessment metric is presented for realistic night-time scenario through a comprehensive consideration of contrast, texture, and colour in this article. To be specific, image blocks' color-gray-difference (CGD) histogram that represents contrast features is computed at first. Next, texture features that are measured by the mean subtracted contrast normalized (MSCN)-weighted local binary pattern (LBP) histogram are calculated. Then statistical features in Lαβ colour space are detected. Finally, the quality prediction model is conducted by the support vector regression (SVR) based on extracted contrast, texture, and colour features. Experiments conducted on NNID, CCRIQ, LIVE-CH, and CID2013 databases indicate that the proposed metric is superior to the compared BIQA metrics.

• Journal of the East Asian Society of Dietary Life
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• v.9 no.4
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• pp.452-460
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• 1999

This study was conducted in order to investigate the quality characteristics of Salku Pyun which was made by using mungbean, potato, sweet potato and corn starches. The pH of salku juice was 3.45 to 3.50 and the brix of that was 7.0%. The water content and water activity of salku pyun with potato starch was highest. The result of sensory evaluation showed that appearance, flavor, overall quality were highest in the Salku Pyun made with potato starch while texture, taste were highest in the Salku Pyun made with mungbean starch. Mechanical properties of salku pyun with mungbean starch was significantly higher in adhesiveness, hardness, chewiness. Texture of sensory evaluation were positively correlated with springiness, hardness, and chewiness of mechanical measurement. The factors which affect the overall quality on sensory evaluation were texture quality, taste quality, hardness, color and springiness.

• Journal of the East Asian Society of Dietary Life
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• v.16 no.6
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• pp.747-752
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• 2006

This study developed gasiogapidduk to increase the functional value and flavor of traditional Baiksulgi by adding gasiogapi powder. Powdered nonglutinous rice was mixed with powdered leaves (1%, 2%, 3%), powdered stems roots (1%, 3%, 5%), and powdered freeze-dried root extracts (5%, 10%, 15%) of Acanthopanax senticosus, known as the second ginseng, in order to find the combination ratio optimal to the senses. Sensory evaluation and texture characteristic evaluation of gasiogapidduk were used to develop a functional rice cake appealing to the largest number of people. Sensory evaluation consisted of evaluating color, smell, taste and texture, preference quality which reflects overall appeal. Texture characteristics were evalauated on hardness, adhesiveness, cohesiveness, springiness and gumminess. As a result, AE5 mixed with 5% powdered freeze-dried Acanthopanax senticosus extract proved to be the most desirable in both sensory evaluation and texture characteristics.

• Journal of the Korean Institute of Telematics and Electronics
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• v.24 no.5
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• pp.914-922
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• 1987

An image coding technique based on a segmentation, which utilizes a simplified description of regions composing an image, is investigated in this paper. The proposed coding technique consists of 3 stages: segmentation, contour coding. In this paper, emphasis was given to texture coding in order to improve a quality of an image. Split-and-merge method was employed for a segmentation. In the texture coding, a linear predictive coding(LPC), along with approximation technique based on a two-dimensional polynomial function was used to encode texture components. Depending on a size of region and a mean square error between an original and a reconstructed image, appropriate texture coding techniques were determined. A computer simulation on natural images indicates that an acceptable image quality at a compression ratio as high as 15-25 could be obtained. In comparison with a discrete cosine transform coding technique, which is the most typical coding technique in the first-generation coding, the proposed scheme leads to a better quality at compression ratio higher than 15-20.

• Journal of Fisheries and Marine Sciences Education
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• v.4 no.1
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• pp.62-74
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• 1992

The effect of additional amounts of subsidiary materials on texture of fish meat paste were examined using Instron Universal Testing Machine to obtain fundamental data for steamed Alaska pollack meat paste showing good quality. The hardness revealed the good correlation with jelly strength among the six kinds of parameters of Instron texturometer. Products with higher hardness showed a better quality, but those with hardness higher than 16kg showed decreasing quality with increasing hardness. Predicting the quality of steamed Alaska pollack meat paste with various additional amounts of subsidiary materials as a function of hardness, H, the equation could be deduced as follows: H=11.56+0.54Xcs, H=12.22-0.23Xsp and H=11.65-7.13Xpp. The reasonable equations for predicting the quality of steamed Alaska pollack meat paste with various additional amounts of mixed subsidiary materials could be summarized as follows: H=11.57+0.53Xcs+0.44Xsp, H=11.97-1.83Xpp-0.17Xcs, and H=11.58+0.08Xpp-0.23Xsp.

• Journal of Biosystems Engineering
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• v.37 no.4
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• pp.252-257
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• 2012

Purpose: The net rind pattern and color of melon surface are important for a high market value of melon fruits. The development of the net and color are closely related to the changes in shape, size, and maturing. Therefore, the net and color characteristics can be used indicators for assessment of melon quality. The goal of this study was to investigate the possibility of estimating melon soluble solids content (SSC) and firmness by analyzing the net and color characteristics of fruit surface. Methods: The true color images of melon surface obtained at fruit equator were analyzed with 18 color features and 9 texture features. The partial least squares (PLS) method was used to estimate SSC and firmness in melons using their color and texture features. Results: In sensing melon SSC, the coefficients of determination of validation (${R_v}^2$) of the prediction models using the color and texture features were 0.84 (root mean square error of validation, RMSEV: 1.92 $^{\circ}Brix$) and 0.96 (RMSEV: 0.60 $^{\circ}Brix$), respectively. The ${R_v}^2$ values of the models for predicting melon firmness using the color and texture features were 0.64 (RMSEV: 4.62 N) and 0.79 (RMSEV: 2.99 N), respectively. Conclusions: In general, the texture features were more useful for estimating melon internal quality than the color features. However, to strengthen the usefulness of the color and texture features of melon surface for estimation of melon quality, additional experiments with more fruit samples need to be conducted.

• Journal of the Korean Society of Food Science and Nutrition
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• v.41 no.7
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• pp.975-981
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• 2012

Setting is an important process for the control of surimi quality in industry because it can improve the gel texture and water-holding capacity of surimi-based products. Therefore, the effect of setting on giant squid surimi-based product was analyzed via a mixture model. Konjac flour and microbial transglutaminase were used as texture enhancers. Both texture enhancers improved the texture and water retention ability (WRA) of giant squid surimi-based products, while decreasing the whiteness. Setting also improved the gel texture and WRA, while having no effect on the whiteness. Based on the sensory evaluation, the product with gel texture enhancers was better than the control and similar to commercial surimi products. Therefore, the applications of gel texture enhancers and setting are very important for the manufacture of giant squid surimi-based products.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.8
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• pp.1414-1417
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• 2004

As the major quality deterioration factor for black sesame Dasik during storage, texture hardening, loss of gloss and decrease of savory flavor are derived from sensory and texture analysis of fresh and two months-stored Dasik. Four kinds of corn syrup with different dextrose equivalent (DE) were applied and their effects on quality attributes of black sesame Dasik were examined to select the optimum corn syrup that could minimize the quality deterioration of black sesame Dasik during storage. Results of texture analysis and sensory evaluation of fresh and four weeks-stored Dasik at $25^{\circ}C$ suggested the possibility that the application of corn syrup with DE of 60~65 or oligosaccharide can minimize the quality deterioration of black sesame Dasik in terms of gloss, sweet flavor and texture hardening during storage.