Biologically Rationalized Computing Techniques For Image Processing Applications

<div>Artifical Bee Colony Algorithm for Classification of Semi-Urban LU/LC Features Using High Resolution Satellite Data.- Saliency Based Image Compression Using Walsh–Hadamard Transform (WHT).- Object trajectory prediction with scarce environment information.- A Two-fold Subspace Learning Based Feature Fusion Strategy for Classification of EMG and EMG spectrogram Images.- Automatic Detection of Brain Strokes in CT Images using Soft Computing Techniques.- A survey on Intelligence based biometric techniques for authentication applications.- Spatial and Spectral Quality Assessment of Fused Hyperspectral and Multispectral Data.- Deep Learning Techniques for Breast Cancer Detection using Medical Images Analysis.- A Tour towards the development of various Techniques for Paralysis Detection using Image Processing.- Chlorella - Algae Image Analysis using Artificial Neural Network and Deep Learning.- Review on Image Enhancement Techniques </div>using Biologically Inspired Artificial Bee ColonyAlgorithms and its variants.- Certain Applications and Case Studies of Evolutionary Computing Techniques for Image Processing.- Histopathological Image Analysis for the Grade Identification of Tumor.- Super Resolution via Particle Swarm Optimization Variants.