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Cohesion is the attraction between molecules of the same type, such as water molecules. Water molecules have an overall neutral charge but are polar molecule. An oxygen atom in one water molecule has a partial negative charge that can bind to a hydrogen atom with a partial positive charge in a second water molecule, forming a hydrogen bond. Each water molecule can form up to four hydrogen bonds with other water molecules. Hydrogen bonds are responsible for water's cohesive nature.
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Object Discovery via Cohesion Measurement.

Guanjun Guo, Hanzi Wang, Wan-Lei Zhao

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    |February 22, 2017
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    Summary
    This summary is machine-generated.

    This study introduces a new image affinity matrix robust to color distortions, improving object discovery for computer vision tasks like saliency detection and object proposal generation.

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    Area of Science:

    • Computer Vision
    • Image Processing

    Background:

    • Color and intensity are key image components for object representation.
    • Existing methods struggle with color distortions caused by intensity variations.
    • Spectral clustering uses affinity matrices for image segmentation.

    Purpose of the Study:

    • To develop a novel affinity matrix robust to color distortions.
    • To introduce a cohesion measurement (CM) for object regions.
    • To propose an object discovery method utilizing eigenvectors of the affinity matrix.

    Main Methods:

    • Reinvestigated affinity matrices from spectral clustering.
    • Formulated a new affinity matrix resilient to color distortions.
    • Derived a cohesion measurement (CM) based on the new affinity matrix.
    • Developed an object discovery method using affinity matrix eigenvectors.

    Main Results:

    • The proposed method demonstrates promising performance in object discovery.
    • Applied successfully to saliency detection and object proposal generation tasks.
    • Validated on multiple benchmark datasets.

    Conclusions:

    • The novel CM-based object discovery method effectively handles color distortions.
    • The approach offers improved performance for saliency detection and object proposal generation.