\u003cp\u003e\u003ci\u003eBio-Inspired Computation and Applications in Image Processing\u003c/i\u003e summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field.\u003c/p\u003e \u003cp\u003eIn addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue.\u003c/p\u003e\u003cul\u003e \u003cli\u003eReviews the latest developments in bio-inspired computation in image processing \u003c/li\u003e \u003cli\u003eFocuses on the introduction and analysis of the key bio-inspired methods and techniques \u003c/li\u003e \u003cli\u003eCombines theory with real-world applications in image processing \u003c/li\u003e \u003cli\u003eHelps solve complex problems in image and signal processing \u003c/li\u003e \u003cli\u003eContains a diverse range of self-contained case studies in real-world applications\u003c/li\u003e\u003c/ul\u003e
nl
en