Order among chaos: High throughput MYCroplanters can distinguish interacting drivers of host infection in a highly stochastic system. [PDF]
Chen MY+9 more
europepmc +1 more source
A Review on Optical Biosensors for Monitoring of Uric Acid and Blood Glucose Using Portable POCT Devices: Status, Challenges, and Future Horizons. [PDF]
Jarnda KV+9 more
europepmc +1 more source
RGB-based machine vision for enhanced pig disease symptoms monitoring and health management: a review. [PDF]
Reza MN+7 more
europepmc +1 more source
Lipases are differentially regulated by hormones to maintain free fatty acid homeostasis for insect brain development. [PDF]
Li YX, Yan Q, Liu TW, Wang JX, Zhao XF.
europepmc +1 more source
Comparison of Video Face Detection methods Using HSV, HSL and HSI Color Spaces [PDF]
this paper presents, new face detection methods based on HSL and HSI color spaces are presented. A comparison of the new face detection methods and a new HSV skin color range is presented. The three color spaces are based on: H, S, V, L, and I, whose represent Hue, Saturation, Value, Luminance and Intensity respectively.
Seham Elaw+2 more
openaire +2 more sources
<title>New HSL and HSV color spaces and applications</title>
The color classification applied for large documents requires simple color transformations that enables the implementation of high speed algorithms with reasonable performance. The use of HSV and HSL color spaces in such applications is limited due to their perceptual non- linearity, even if these spaces are attractive due to the simplicity of their ...
Satoshi Abe, Gabriel G. Marcu
openaire +3 more sources
Real time implementation of RGB to HSV/HSI/HSL and its reverse color space models
The color space conversion employs a significant function in preprocessing phase of digital image processing. Color conversion can improve the quality of images. The color space conversion is used in various applications such as commercial, multimedia, computer vision, visual tracking systems etc.
G. Saravanan+2 more
openaire +3 more sources
Fruit Ripeness Based on RGB, HSV, HSL, L*a*b* Color Feature Using SVM
In this study, we have created a fruit ripeness dataset for 8 categories, namely Ripe Mango, Ripe Tomato, Ripe Orange, Ripe Apple, Unripe Mango, Unripe Tomato, Unripe Orange, and Unripe Apple. Based on the fruit ripeness dataset, we build a classification model of fruit ripeness using the SVM algorithm.
Asep Nana Hermana+3 more
openaire +3 more sources