In recent decades, the abundance of research on the role of technology and its application in the fashion industry, particularly trend forecasting, shows the importance of this subject. Color forecasting is also one of the essential subsets of this mechanism that is affected by technological changes. The research, to express developments in trend and Color forecasting methods with new technologies, examines the changes resulting from the presence of these technologies in the performance of Color trend forecasting in two prestigious international institutions with classic and new approaches. This research was conducted with a descriptive approach, and document and library studies were used to collect information. Results showed that the development of smart solutions for efficient and accurate fashion trend forecasting in these forecasting institutions has been highly regarded and applied, and even if AI technology has not completely changed the way of working, it is used as a reliable tool to increase speed and accuracy.

Human visual system is able to distinguish numerous numbers of Colors. However, this matter has been always raised how the people would like to categorize Colors into main clusters and which words, they usually use to name them. In this issue, Kay and Berlin’s researches are the most important studies. They claimed industrialized human societies usually categorize the Colors into 11 main groups, including: Black, White, Gray, Red, Green, Blue, Yellow, Pink, Orange, Brown and Purple. This paper is a review on Color naming to introduce and discuss the concept of Color naming and Color categorization, the experimental procedure of Color naming, and the results presented in several investigations. Dividing Color spaces into fuzzy sets for Color categorization, establishment of WCS and MACS research centre, experiment done for Color naming, naming array, Color naming data analysis, some samples of WCS languages and universal Color naming for all languages are reviewed.

Background: There are many factors which contribute to the esthetic success of a dental restoration one of which is tooth selection.Aim: This study was designed to look at the relation between tooth and skin Color.Materials and Methods: A group of 60 samples were included in this investigation with individuals as Judges. All of the cases and Judges were selected from dental students. The skin and the tooth Color were devidedinto3 subgroups.Results: 30.5% of all samples had the subgroup I of tooth Color and first subgroup of skin Color.4.7%had subgroup 2 of tooth Color and second subgroup of skin Color. In the subgroup 3, there was no relationship between' tooth Color and skin Color. This study offers that the subgroup I of tooth Color (The lightest Colors) can be used in all 3 subgroups of skin Color. There are many factors which contribute to the aesthetic success of a dental; restoration and one of the most important factors, is tooth selection. In this research we studied the relation between tooth Color and skin Color. This study wa completed with 60 samplesan6 Judges. All of them where, dentistry students. The skin and the tooth Colors were divided in to 3 subgroups. 30.5% of all samples had the subgroup 1 of tooth Color and first subgroup of skin Color. 4.7% had subgroup 2 of tooth Color and second subgroup of skin Color.Conclusion There was no relationship between tooth Color and skin Color. The lightest Colors can also be in all groups of skin Color.

Color image segmentation is a primitive operation in many image processing and computer vision applications. Accordingly, there exist numerous segmentation approaches in the literature, which might be misleading for a researcher who is looking for a practical algorithm. While many researchers are still using the tools which belong to the old Color space paradigm, there is evidence in the research established in the eighties that a proper descriptor of Color vectors should act locally in the Color domain. In this paper, these results are used to propose a new Color image segmentation method. The proposed method searches for the principal Colors, defined as the intersections of the cylindrical representations of homogeneous blocks of the given image. As such, rather than using the noisy individual pixels, which may contain many outliers, the proposed method uses the linear representation of homogeneous blocks of the image. The paper includes comprehensive mathematical discussion of the proposed method and experimental results to show the efficiency of the proposed algorithm.

Backgrond: One of the concerns faced by dentists is the reliability of tooth shade selection. The present research was carried out concerning the increase in patients’ expectation of beauty and the importance of conformity in restorative materials for success in beauty restorations and also due to the lack of suffecient research in this field. The current study was performed to determine the reliability of tooth shade selection done by the students of semesters 11-10 using vita Classic system at Tehran Islamic Azad University, School of dentistry, in 2015. Materials and Methods: A cross sectional study was carried out on 60 students of dentistry who had no Colorblindness. Ishihara Color-blindness test was taken from all of the students and then they were asked to choose the Color of patients’ left maxillary central incisor using four vita Classic shade guide kits with unknown codes. In order to unify the condition, the patient was asked to brush her teeth and remove her makeup. The light was assimilated using “ day light” device made in Taiwan and also tooth shade selection test was done in 30 centimeters distance from the patients and no time limitation. A grey screen was used to prevent eyestrain. After 10 days, the experiment was repeated with similar conditions. Results: The reliability of shade selection in students (R) was 0. 96 or %96 and the congruency (R² ) was 81 percent. Also, %65 of excellent reliability and %24 of good reliability and 8 moderate reliability and %3 of low reliability was observed among the residents. Relevant factors like gender, wearing glasses, and academic semester were not observed to be statistically significant (p<0. 2). Conclusion: It saems the there is a high reliability of shade selection in students and it does not have any relationship with other factors.