Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Experimental Comparison of Range Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Quantitative evaluation of color image segmentation results
Pattern Recognition Letters
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Real-Time Object Tracking System Using a Color Camera
AIPR '01 Proceedings of the 30th on Applied Imagery Pattern Recognition Workshop
Object segmentation within microscope images of palynofacies
Computers & Geosciences
Toward a generic evaluation of image segmentation
IEEE Transactions on Image Processing
Object segmentation within microscope images of palynofacies
Computers & Geosciences
Short communication: An evaluation metric for image segmentation of multiple objects
Image and Vision Computing
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Classification of organic materials obtained from rock and drill cuttings involves finding multiple objects in the image. This task is usually approached by segmentation. The quality of segmentation is evaluated by matching the whole detected objects to a reference segmentation. We are interested in representing each object by a single reference point called the “centre”. This paper proposes an evaluation measure of image segmentation for such representation. We argue that measures based only on distance between obtained centres and a set of predefined centres are insufficient. The proposed measure is based on a list of desirable properties of the segmentation. The three components of the measure evaluate the under/over segmentation of the objects, the proportion of centres placed in the background rather than in objects, and the distance between the guessed and the true centres. The ability of the measure to distinguish between segmentation results of different quality is illustrated on three sets of examples including an image containing microfossils and pieces of inert material.