19 January 2001 Intrinsic validation of segmented regions: application to multi-spectral CASI images
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Abstract
We propose in this communication an intrinsic validation method in order to improve the global segmentation results. The originality of this method lies with the possibility to automatically validate segmentation results at two levels: regions and pixels. This method is based on three different and complementary intrinsic quality measures: '’topology”, homogeneity and stability. These three measures are computed from image and segmented image without any a priori knowledge on the ground truth. For each measure, a criterion is applied in order to validate the segmentation results. The developed method has been applied on the high-resolution multi-component images obtained by the CASI (Compact Airborne Spectrographic Imager). The application of this method on CASI images shows its efficiency.
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N. Voisine, Kacem Chehdi, "Intrinsic validation of segmented regions: application to multi-spectral CASI images", Proc. SPIE 4170, Image and Signal Processing for Remote Sensing VI, (19 January 2001); doi: 10.1117/12.413903; https://doi.org/10.1117/12.413903
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KEYWORDS
Image segmentation

Image processing algorithms and systems

Quality measurement

Bone

Image resolution

Remote sensing

Fractal analysis

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