cognizant digital transformation

C # Digital Image processing Algorithm learning notes (III.)--Image geometric transformationThe geometric image processing includes the image translation transformation, the mirror transformation, the rotation transformation, the telescopic transformation, in this case only

The last time I spoke about digital image processing, I will post another question today. Geometric transform (test image: fig3.tif) Develope geometric transform program that will rotate, translate, and scale an imageby specified amounts, using the nearest neighbor and bilinear interpolationmethods, respectively. Background In the process of spatial transformation of an image, a typical situation is that t

length is judged, if the length is not 0, then continue. Second, we find that the Roman numerals have an inclusive relationship between numbers, such as III containing II andI, therefore, for a given Roman numeral string, you need to determine whether its substring corresponds to a value in the map is empty. We first intercept the first character, determine if its value in the map is empty, and if it is not empty, continue to interceptTake the second character, if the two characters in the map

50Line_gap: The maximum gap between lines. Increase this value to merge broken lines. Default is 10Return:Lines: A list of lines, formatted as ((x0, y0), (x1, y0)), indicating the start and end points . Below, we use the canny operator to extract the edges and then detect which edges are straight lines?ImportSkimage.transform as StImportMatplotlib.pyplot as Plt fromSkimageImportdata,feature#use probabilistic Hough Transform.Image =Data.camera () edges= Feature.canny (image, sigma=2, low_thresho

), Plt.title ('ROI') Plt.imshow (ROI), Plt.axis ('if') plt.show ()After plotting the picture with plot, move the mouse over the picture, and the coordinates of the current point appear in the lower-right corner, along with the pixel values.Three, geometric transformationThe Image class has resize (), rotate (), and Transpose () methods for geometric transformations.1. Zoom and rotate the imageDST = img.resize ((+,+# Clockwise angle representation2. Converting imagesDST == = Im.transpose (image.