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Seam carving resizes images along low-energy paths rather than uniformly scaling. Remove unimportant regions (sky, flat walls) while preserving people and objects. Visualize the carved seams, then export the resized result.
이음새 조각으로 내용 인식 이미지 크기 조정 - 저에너지 경로를 따라 제거 또는 확장하고 이음새를 시각화합니다.
Seam carving is an algorithm that resizes images by removing or inserting 'seams' — connected paths of low-energy pixels. Content such as people and objects is preserved while flat regions absorb the resize.
Energy represents how 'important' each pixel is — typically computed from image gradients (Sobel/Scharr). Low-energy pixels (uniform regions) are removed first.
Forward energy considers the discontinuity the seam insertion or removal would introduce, producing noticeably fewer artifacts than standard backward (gradient-only) energy.