FocusALL: Focal Stacking of Microscopic Images Using Modified Harris Corner Response Measure PROJECT TITLE :FocusALL: Focal Stacking of Microscopic Images Using Modified Harris Corner Response MeasureABSTRACT:Automated image analysis of microscopic pictures like protein crystallization images and cellular images is one in every of the important research areas. If objects in a very scene appear at different depths with respect to the camera's focal point, objects outside the depth of field sometimes seem blurred. Therefore, scientists capture a assortment of images with different depths of field. Focal stacking may be a technique of making a single focused image from a stack of pictures collected with completely different depths of field. In this paper, we tend to introduce a unique focal stacking technique, FocusALL, which is predicated on our changed Harris Corner Response Measure. We also propose enhanced FocusALL for application on images collected beneath high resolution and varying illumination. FocusALL resolves problems connected to the assumption that focus regions have high contrast and high intensity. Especially, FocusALL generates sharper boundaries around protein crystal regions and smart in focus images for high resolution pictures in reasonable time. FocusALL outperforms different strategies on protein crystallization images and performs comparably well on alternative datasets such as retinal epithelial pictures and simulated datasets. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Highly Robust Integrated Gate-Driver for In-Cell Touch TFT-LCD Driven in Time Division Driving Method A Cross-Layer Multicore Architecture to Tradeoff Program Accuracy and Resilience Overheads