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Related Concept Videos

Changes in Skin Color: Clinical Perspectives01:14

Changes in Skin Color: Clinical Perspectives

The first thing a clinician sees is the skin, so the examination of the skin should be part of any thorough physical examination. Most skin disorders are relatively benign, but a few, including melanomas, can be fatal if untreated. A couple of the more noticeable disorders, albinism and vitiligo, affect the appearance of the skin and its accessory organs.
Albinism
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Shape and Texture of Coarse Aggregate01:25

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Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
Color Vision01:24

Color Vision

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Assessment of Airway, Skin Color, and Use of Accessory Muscles

A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
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Normal and Tangetial Components: Problem Solving01:24

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Consider a man with a mass of 70 kg seated in a chair connected to a pin support through a member BC. If the man maintains an upright position, the task is to determine the horizontal and vertical reactions of the chair on the man when the member makes a 45° angle with the horizontal. At this moment, the man has a speed of 5 m/s, increasing at a rate of 1 m/s².
Pigmentation01:19

Pigmentation

The color of the skin is influenced by a number of pigments, including melanin, carotene, and hemoglobin. Recall that melanin is produced by cells called melanocytes, which are found scattered throughout the stratum basale of the epidermis. The melanin is transferred to the keratinocytes via melanosomes.
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Related Experiment Video

Updated: Jun 23, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

On color texture normalization for active appearance models.

Mircea C Ionita, Peter Corcoran, Vasile Buzuloiu

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 22, 2009
    PubMed
    Summary
    This summary is machine-generated.

    This study enhances active appearance models (AAMs) for color images by normalizing color texture. This approach improves convergence accuracy and image synthesis quality, outperforming previous methods.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Machine Learning

    Background:

    • Standard active appearance models (AAMs) are primarily grayscale-based.
    • Previous extensions to color images using RGB models showed limited improvements in convergence accuracy.
    • The need for advanced AAMs for color image analysis is critical in various applications.

    Discussion:

    • This research investigates extending grayscale AAMs to color images.
    • The proposed method normalizes color texture vectors by separating intensity and chromaticity components.
    • This normalization strategy aims to enhance the performance of AAMs in color image analysis.

    Key Insights:

    • Color normalization significantly improves AAM convergence accuracy and image synthesis quality.
    • Choosing an appropriate color space, where image channels are decorrelated, is crucial for optimal performance.
    • The I1I2I3 color space, proposed by Ohta, yields the best results in this study.

    Outlook:

    • Further research can explore other decorrelated color spaces for AAMs.
    • The enhanced AAMs show potential for applications requiring precise facial feature tracking and analysis.
    • This work paves the way for more robust and accurate color image modeling techniques.