Fractal dimension is extensively in use as features in computer vision applications to
characterize roughness and self-similarity of objects in an image for many years. These …

The properties like pulse synchronization of neurons and global coupling greatly motivated
researchers to apply pulse coupled neural network (PCNN) models in accomplishing image …

Pulse coupled neural network (PCNN) is widely used in image fusion framework due to its
global coupling and pulse synchronization of neurons. However, its manual setting of …

Multi-focus image fusion combines the focused parts of multiple images of the same scene
to generate a fully focused image. Dual Channel Pulse coupled neural network (DCPCNN) …

One of the most recent non-invasive technologies to examine the gastrointestinal tract is
wireless capsule endoscopy (WCE). As there are thousands of endoscopic images in an 8 …

In recent years, the number of image fusion schemes presented by the research community
has increased significantly. Measuring the performance of these schemes is an important …

The surface micromorphology and roughening of the thermal evaporation-coated FTO/ZnS
bilayer thin films annealed at 300, 400, 500, and 550∘ C for 1 h have been studied. AFM …

Texture analysis methods have been used in various image processing applications, such
as segmentation, classification, and recognition, shape analysis. The performance of …

Surface texture of an image plays an imperative role in understanding objects such as
aggregates, woods, grains, soils, trees, and houses. Fractal dimension (FD) helps to …

Image fusion model based on autoencoder network gets more attention because it does not
need to design fusion rules manually. However, most autoencoder-based fusion networks …