Digital image processing heavily relies on the connectivity of pixels, as it is a vital component for accurate object identification and analysis within an image. Grouping together pixels with similar features such colour intensity, allows formation meaningful patterns or objects, which essential recognition segmentation. This approach particularly valuable in photogrammetric imaging, video sur...

In this report the design, fabrication, and testing of inkjet-printed electrochromic pixels (ECPs) incorporating biochrome, xanthommatin (Xa) as programmable display units is described. As a redox sensitive chromophore, Xa present in some species physiological indicator with red (reduced) or yellow (oxidized) colors associated different behavioral developmental stages. These features have been ...

Thresholding is a popular method of image segmentation. Many thresholding methods utilize only the gray level information of pixels in the image, which may lead to poor segmentation performance because the spatial correlation information between pixels is ignored. To improve the performance of thresolding methods, a novel two-dimensional histogram—called gray level-local variance (GLLV) histogr...

endocrine hypothesis. For example, there must be in the population many men who have regularly donated blood every six months for many years. Obviously this is not equivalent to a monthly menstrual bleed. Nevertheless it would be interesting to see whether these men are in any way protected against coronary thrombosis as compared with a group of non-donors. (2) If true the concept would mean th...

We propose a novel locally adaptive learning estimator for enhancing the interand intradiscriminative capabilities of Deep Neural Networks, which can be used as improved loss layer for semantic image segmentation tasks. Most loss layers compute pixel-wise cost between feature maps and ground truths, ignoring spatial layouts and interactions between neighboring pixels with same object category, ...