Color-complexity enabled exhaustive color-dots identification and spatial patterns testing in images

by   Shuting Liao, et al.

Targeted color-dots with varying shapes and sizes in images are first exhaustively identified, and then their multiscale 2D geometric patterns are extracted for testing spatial uniformness in a progressive fashion. Based on color theory in physics, we develop a new color-identification algorithm relying on highly associative relations among the three color-coordinates: RGB or HSV. Such high associations critically imply low color-complexity of a color image, and renders potentials of exhaustive identification of targeted color-dots of all shapes and sizes. Via heterogeneous shaded regions and lighting conditions, our algorithm is shown being robust, practical and efficient comparing with the popular Contour and OpenCV approaches. Upon all identified color-pixels, we form color-dots as individually connected networks with shapes and sizes. We construct minimum spanning trees (MST) as spatial geometries of dot-collectives of various size-scales. Given a size-scale, the distribution of distances between immediate neighbors in the observed MST is extracted, so do many simulated MSTs under the spatial uniformness assumption. We devise a new algorithm for testing 2D spatial uniformness based on a Hierarchical clustering tree upon all involving MSTs. Our developments are illustrated on images obtained by mimicking chemical spraying via drone in Precision Agriculture.


page 2

page 5

page 6

page 7

page 16

page 17

page 18

page 19


Deep Neural Models for color discrimination and color constancy

Color constancy is our ability to perceive constant colors across varyin...

Incremental Color Quantization for Color-Vision-Deficient Observers Using Mobile Gaming Data

The sizes of compressed images depend on their spatial resolution (numbe...

A New Color Feature Extraction Method Based on Dynamic Color Distribution Entropy of Neighborhoods

One of the important requirements in image retrieval, indexing, classifi...

Road Detection by One-Class Color Classification: Dataset and Experiments

Detecting traversable road areas ahead a moving vehicle is a key process...

Easing Color Shifts in Score-Based Diffusion Models

Generated images of score-based models can suffer from errors in their s...

Please sign up or login with your details

Forgot password? Click here to reset