By Barry A. Sanders

ISBN-10: 1597977748

ISBN-13: 9781597977746

Untangling the world's love-hate dating with America

Since September eleven, 2001, the vast literature at the United States's photograph in another country, by way of well known pundits and teachers alike, leaves the reader with a misunderstanding that foreigners' perspectives of the United States are ordinarily unfavorable and impervious to alter. actually they're complicated, emotional, often internally contradictory, and sometimes switch quickly.

Barry A. Sanders corrects this misimpression with a rigorous and insightful textual research of the roots of people's perspectives of the USA and what will be performed to change them. based on Sanders, the attitudes an individual expresses concerning the usa encompass separate elements: the person's reminiscence financial institution of pictures (informed via American geography, humans, philosophy, background, and overseas coverage) and a predisposition or bias that impacts which photographs are referred to as forth from memory.Opinion surveys, similar to the Pew worldwide angle Survey, in basic terms checklist the spoken results of this twostep technique of their tabulation of "favorable" or "unfavorable" reviews. They unavoidably fail to spot the underlying complexity.

Examining the biases or predispositions that advisor humans in deciding upon one of the myriad saved photos to specific an opinion on a given day, Sanders analyzes either anti-American and pro-American biases yet specializes in the previous, explaining which criticisms might be heeded while crafting international coverage and speaking nationwide pursuits to pals and foes alike.

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IsOpened()) { cout << "Capture could not be opened succesfully" << endl; return -1; } namedWindow("Video"); namedWindow("Segmentation"); createTrackbar("0. R\n1. empty()) { cout << "Video over" << endl; break; } inRange(frame, Scalar(low_b, low_g, low_r), Scalar(high_b, high_g, high_r), frame_thresholded); Mat str_el = getStructuringElement(MORPH_RECT, Size(3, 3)); morphologyEx(frame_thresholded, frame_thresholded, MORPH_OPEN, str_el); morphologyEx(frame_thresholded, frame_thresholded, MORPH_CLOSE, str_el); imshow("Video", frame); imshow("Segmentation", frame_thresholded); } return 0; } Figure 5-13 shows that opening and closing the color-bound checker output does indeed remove speckles and holes.

32 Chapter 4 ■ Basic Operations on Images and GUI Windows Figure 4-2. The cropping app in action Accessing Individual Pixels of an Image Sometimes it becomes necessary to access values of individual pixels in an image or its ROI. OpenCV has efficient ways of doing this. at(i, j). at[c], where c is the channel number, from 0 to 2. Exercise Can you make a very simple color image segmentation app based on the concepts you have learned so far? Segmentation means identifying different parts of an image.

Sometimes you might want to detect edges only in a certain channel or use different kernels for different channels and select the strongest edge (or average edge strength). In that case, you should split the image using the split() function and apply kernels individually. Don’t forget to check the OpenCV documentation on all the new functions you are learning! Because edge detection is a very important operation in computer vision, a lot of research has been done to devise methods and intelligent filter matrices that can detect edges at any arbitrary orientation.

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American Avatar: The United States in the Global Imagination by Barry A. Sanders


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