세 매개변수로 이미지 정렬을 자동화해보자(회전, 행 차원 변환, 열 차원 변환). 이 과정을 ‘고
정 등록
rigid
registration
’이라고 한다. 이미지 확대/축소와 왜곡 및 늘리기와 같은 변형이 없기 때문
이다. 사물은 단단한 고체로 간주되고 원본과의 일치될 때까지 이미지 주변을 이동(회전 포함)
한다.
사이킷-이미지 변환 모듈을 사용하여 이미지의 이동 및 회전을 계산해 코드를 단순화했다. 사
이파이의 최적화 모듈에서 입력 매개변수로 벡터가 필요하다. 먼저 벡터를 구하여 올바른 매개
변수를 취한 후, 고정 변형을 생성하는 함수를 작성한다.
from
skimage
import
transform
def
make
_
rigid
_
transform
(
param
):
r
,
tc
,
tr
=
param
return
transform
.
SimilarityTransform
(
rotation
=
r
,
translation
=(
tc
,
tr
))
rotated
=
transform
.
rotate
(
astronaut
,
45
)
233
7
장
사이파이 함수 최적화
fig
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