The aim of this study was to investigate the influence persuaded’s preferred color on interpersonal cognition and behavioral modification in persuasion situations. To elucidate process, a psychological experiment conducted using video persuade people visit lab. From weak intentions (lab visit, website browsing) strong (face-to-face conversation), see what level behavior elicited. results showed...

Color image segmentation is a very emerging research topic in the area of color image analysis and pattern recognition. Many state-of-the-art algorithms have been developed for this purpose. But, often the segmentation results of these algorithms seem to be suffering from missclassifications and over-segmentation. The reasons behind these are the degradation of image quality during the acquisit...

Real-time detection and identification of orchard pests is related to the economy industry. Using lab picture collections pictures from web crawling, a dataset common in orchards has been created. It contains 24,748 color images covers seven types pests. Based on this dataset, paper combines YOLOv5 GhostNet explains benefits method using feature maps, heatmaps loss curve. The results show that ...

Carbon black or soot is a carbon rich material which is widely used as a modifier and filler. Usually carbon black is produced via thermal decomposition of heavy <span style="font-size: 10pt; color: #0...

Introduction: Current Thermal cycling units fail to simulate the drinking behaviors, and oral balancing temperature. They cannot also simulate other oral conditions such as drink coloring, and chemicals like tea, coffee, carbonated and noncarbonated, citrus juices as well as alcoholic and nonalcoholic drinks and also saliva and milk itself. The main objective of this study is to introduce the d...

Deep convolutional neural networks (DCNNs) have been successfully applied to plant disease detection. Unlike most existing studies, we propose feeding a DCNN CIE Lab instead of RGB color coordinates. We modified an Inception V3 architecture include one branch specific for achromatic data (L channel) and another chromatic (AB channels). This modification takes advantage the decoupling informatio...

One of the most important aspects of a good image is that the subject looks good. It is therefore our objective, when building an automatic image enhancement system, to optimize the appearance of the image subject(s). Moreover, people often have specific preferences regarding the look of different objects. Grass, for example, is considered prettier when green and with sharp texture, while skin ...

We evaluate a new 12-channel multi-spectral line scan camera system for full-width inline color measurements. The system provides full reflectance spectra for each pixel allowing for accurate color measurement with high spatial resolution. In our analysis, we performed measurements on three test-charts printed in our lab and by different offset printing shops in Germany. We compare the results ...

We are concerned with the extraction of effective color features for a content-based image retrieval (CBIR) application in dermatology. Effectiveness is measured by he rate of correct retrieval of images from four color classes of skin lesions. We employ and compare two different methods: Limited Rank Matrix Learning Vector Quantization (LiRaM LVQ) and a Large Margin Nearest Neighbor (LMNN) app...