Abstract During the mental stress and work pressure, the face of human beings reflects changes and the temperature of the body has some relations with these changes. The correlation values are studied between points and areas and assessments and made of the averages and variances during the experiment with a group of people. The experimental results reveal that human brains... During the mental stress and work pressure, the face of human beings reflects changes and the temperature of the body has some relations with these changes. The correlation values are studied between points and areas and assessments and made of the averages and variances during the experiment with a group of people. The experimental results reveal that human brains shown rest in the first level and arithmetic calculations are loaded later. Read More Read Less

Abstract The fine surface of the bowel and the colorectal polyps reflect the colonoscopy images. This is analogous to the case of combustion engine surface scans, where the grooving and wear can be detected from the fine pattern superposed to a cylinder curvature. While comparing we can found that the colonoscopy images and to have many reflections, whereas the roughness scanners... The fine surface of the bowel and the colorectal polyps reflect the colonoscopy images. This is analogous to the case of combustion engine surface scans, where the grooving and wear can be detected from the fine pattern superposed to a cylinder curvature. While comparing we can found that the colonoscopy images and to have many reflections, whereas the roughness scanners detect small dust particles and well as the vibrations from the environment. We bring a model in this work to take care of both the problems using histogram stretching together with a special type of filtering. Besides we have used the masks to control the effect of the operators. In the testing we have measured the effects of the processing steps on the structural entropy of the image because the structural entropies are used in characterization of the images. Read More Read Less

Abstract For image segmentation we have introduced the C# implementation of the split and merge algorithm with a main applicability in this work. We have introduced an algorithm process in the color and grayscale images by splitting them following quad-tree decomposition over intensity homogeneity criterion. Then adjacent blocks, including such from different tree levels, are merged together to form candidate regions... For image segmentation we have introduced the C# implementation of the split and merge algorithm with a main applicability in this work. We have introduced an algorithm process in the color and grayscale images by splitting them following quad-tree decomposition over intensity homogeneity criterion. Then adjacent blocks, including such from different tree levels, are merged together to form candidate regions for segmentation. Area filtration of the regions is the final processing step prior to generating the output map of the application. We have performed experimentation with images containing printed text over complex background and found interesting outcome of the study. Read More Read Less