November 2018
Intermediate to advanced
272 pages
6h 51m
Japanese
book
エレガントなSciPy ―Pythonによる科学技術計算
by Juan Nunez-Iglesias, Stéfan van der Walt, Harriet Dashnow, 山崎 邦子, 山崎 康宏
Content preview from エレガントなSciPy ―Pythonによる科学技術計算
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56
3 章 ndimage を使った画像領域のネットワーク
The original image with a blue grid superimposed.
元の画像に青いグリッド線を重ねたもの。
"""
image_gridded = image.copy()
pass # replace this line with your code...
この行はご自身のコードで置き換えてください。
return image_gridded
# plt.imshow(overlay_grid(astro, 128)); # uncomment this line to test your function
この行のコメント化を解除して関数をテストする。
「
A.1
解答：グリッドオーバーレイを追加する」を確認しましょう。
3.2
信号処理で使うフィルタ
フィルタリングは、最も基本的でよく利用される画像処理操作の
1
つです。画像をフィルタリ
ングすることで、ノイズを除去したり、特徴を強調したり、画像中の対象物の間の輪郭を検出した
りできます。
フィルタを理解するために、まずは画像ではなく
1
次元の信号から始めましょう。例えば、光
ファイバーケーブルの端に到達した光を計測するとします。仮に、信号を
1
ミリ秒（
ms
）間隔で
100 ms
の間サンプリングしたとすると、長さが
100
の配列が得られます。例えば、
30 ms
後に光信
号のスイッチが入り、その
30 ms
後に切れるとします。すると、以下のような信号が得られます。 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.