AIMC Topic: Color

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Prediction of banana quality indices from color features using support vector regression.

Talanta
Banana undergoes significant quality indices and color transformations during shelf-life process, which in turn affect important chemical and physical characteristics for the organoleptic quality of banana. A computer vision system was implemented in...

A BHR Composite Network-Based Visualization Method for Deformation Risk Level of Underground Space.

PloS one
This study proposes a visualization processing method for the deformation risk level of underground space. The proposed method is based on a BP-Hopfield-RGB (BHR) composite network. Complex environmental factors are integrated in the BP neural networ...

Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
BACKGROUND/PURPOSE: Early detection of malignant melanoma is an important public health challenge. In the USA, dermatologists are seeing more melanomas at an early stage, before classic melanoma features have become apparent. Pink color is a feature ...

A novel tracking algorithm via feature points matching.

PloS one
Visual target tracking is a primary task in many computer vision applications and has been widely studied in recent years. Among all the tracking methods, the mean shift algorithm has attracted extraordinary interest and been well developed in the pa...

Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption.

IEEE transactions on neural networks and learning systems
This paper investigates the problem of global exponential lag synchronization of a class of switched neural networks with time-varying delays via neural activation function and applications in image encryption. The controller is dependent on the outp...

Phase Oscillatory Network and Visual Pattern Recognition.

IEEE transactions on neural networks and learning systems
We explore a properly interconnected set of Kuramoto type oscillators that results in a new associative-memory network configuration, which includes second- and third-order additional terms in the Fourier expansion of the network's coupling. Investig...

Joint sparse coding based spatial pyramid matching for classification of color medical image.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Although color medical images are important in clinical practice, they are usually converted to grayscale for further processing in pattern recognition, resulting in loss of rich color information. The sparse coding based linear spatial pyramid match...

Hyperspectral imaging and machine learning for quality assessment of apples with different bagging types.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
This study examined how different bagging types (unbagged, mesh-bagged, and paper-bagged) affect the internal and external quality of fruits. Spectral images of 307 apples were collected using a visible-near infrared hyperspectral imaging system, and...

Application of machine learning for optimizing biomarker combinations and guiding decisions on meat authentication.

Meat science
This paper tested the relevance of two machine learning approaches (decision trees, DTs; and random forest models, RFs) applied to meat authentication. DT allow to select and rank potential biomarkers according to their respective discriminatory powe...