Never Book API 조회 결과 XML

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<?xml version="1.0" encoding="UTF-8"?>
    <rss version="2.0">  
        <channel>
            <title>Naver Open API - book_adv ::'isbn'</title>
            <link>http://search.naver.com</link>
            <description>Naver Search Result</description>
            <lastBuildDate>Mon, 18 Feb 2013 11:19:25 +0900</lastBuildDate>
            <total>1</total>
            <start>1</start>
            <display>1</display>
           
            <item>
                <title>선사시대 (픽처스터디 1)</title>
                <link>http://openapi.naver.com/lAAAC2LQQrDIBAAX6NHiRpqcvBQKPlGWN0VJW201gb8fVMIzGEYmPeXarfp43beeiHrct5WwINv1K2j2ahhvhGOo5QgTfAeUU/aBIUAnsdKwcbWCtN3ppaT/y92OKgKn19XQHfJitQgPUWJ57G4hEw/5CS1Hn7EGzVkiAAAAA==</link>
                <image />
                <author>파스칼 에스테용</author>
                <price>9000</price>
                <discount />
                <publisher>계림북스쿨</publisher>
                <pubdate>20010601</pubdate>
                <isbn>898942710X 9788989427100</isbn>
                <description>인간은 어떻게 불을 다룰 수 있게 되었을까? 수십억 년 전의 미지의 세계로 돌아가 선사시대의 풍경, 기후, 식물, 동물 그리고 인간에 이르기까지 지구상에서 일어난 인류의 기나긴 모험을 간결한 해설과 다채로운 그림을 통해 인류 발달사의 중요한 단계들을 정리했다.</description>
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파이썬으로 Homomorphic Filtering 하기

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import cv2 # For OpenCV modules (For Image I/O and Contour Finding) import numpy as np # For general purpose array manipulation import scipy . fftpack # For FFT2 #### imclearborder definition def imclearborder ( imgBW , radius ): # Given a black and white image, first find all of its contours imgBWcopy = imgBW . copy () contours , hierarchy = cv2 . findContours ( imgBWcopy . copy (), cv2 . RETR_LIST , cv2 . CHAIN_APPROX_SIMPLE ) # Get dimensions of image imgRows = imgBW . shape [ 0 ] imgCols = imgBW . shape [ 1 ] contourList = [] # ID list of contours that touch the border # For each contour... for idx in np . arange ( len ( contours )): # Get the i'th contour cnt = contours [ idx ] # Look at each point in the contour for pt in cnt : rowCnt = pt [ 0 ][ 1 ] colCnt = pt [ 0 ][ 0 ] # If this is within the radius of th...
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파이썬으로 2D FFT/iFFT 하기: numpy 버전

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import cv2 import numpy as np from matplotlib import pyplot as plt img = cv2 . imread ( 'messi5.jpg' , 0 ) f = np . fft . fft2 ( img ) fshift = np . fft . fftshift ( f ) magnitude_spectrum = 20 * np . log ( np . abs ( fshift )) plt . subplot ( 121 ), plt . imshow ( img , cmap = 'gray' ) plt . title ( 'Input Image' ), plt . xticks ([]), plt . yticks ([]) plt . subplot ( 122 ), plt . imshow ( magnitude_spectrum , cmap = 'gray' ) plt . title ( 'Magnitude Spectrum' ), plt . xticks ([]), plt . yticks ([]) plt . show () rows , cols = img . shape crow , ccol = rows / 2 , cols / 2 fshift [ crow - 30 : crow + 30 , ccol - 30 : ccol + 30 ] = 0 f_ishift = np . fft . ifftshift ( fshift ) img_back = np . fft . ifft2 ( f_ishift ) img_back = np . abs ( img_back ) plt . subplot ( 131 ), plt . imshow ( img , cmap = 'gray' ) plt . title ( 'Input Image' ), plt . xticks ([]), ...
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