Title :
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
Author :
Martin, David ; Fowlkes, Charless ; Tal, Doron ; Malik, Jitendra
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
This paper presents a database containing `ground truth´ segmentations produced by humans for images of a wide variety of natural scenes. We define an error measure which quantifies the consistency between segmentations of differing granularities and find that different human segmentations of the same image are highly consistent. Use of this dataset is demonstrated in two applications: (1) evaluating the performance of segmentation algorithms and (2) measuring probability distributions associated with Gestalt grouping factors as well as statistics of image region properties
Keywords :
computer vision; image segmentation; visual databases; Gestalt grouping factors; ground truth; image database; image region properties; natural scenes; performance of segmentation; probability distributions; segmentations; Application software; Computer errors; Electric variables measurement; Humans; Image databases; Image recognition; Image segmentation; Layout; Statistics; Testing;
Conference_Titel :
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-1143-0
DOI :
10.1109/ICCV.2001.937655
