Cell Segmentation for Image Cytometry: Advances, Insufficiencies, and Challenges

Color Image Segmentation : Advances

Color Image Segmentation: Advances & Prospects

Image segmentation is very essential and critical to image processing and pattern recognition This survey provides a summary of color image segmentation techniques available now Basically color segmentation ap proaches are based on monochrome segmentation approaches operating in di erent color spaces Therefore we rst discuss the major segmentation approaches for segmenting monochrome images his...

Color image segmentation: advances and prospects

Image segmentation is very essential and critical to image processing and pattern recognition. This survey provides a summary of color image segmentation techniques available now. Basically, color segmentation approaches are based on monochrome segmentation approaches operating in di!erent color spaces. Therefore, we "rst discuss the major segmentation approaches for segmenting monochrome image...

Advances in Single Cell Impedance Cytometry for Biomedical Applications

Microfluidics impedance cytometry is an emerging research tool for high throughput analysis of dielectric properties of cells and internal cellular components. This label-free method can be used in different biological assays including particle sizing and enumeration, cell phenotyping and disease diagnostics. Herein, we review recent developments in single cell impedance cytometer platforms, th...

An Improved Pixon-Based Approach for Image Segmentation

An improved pixon-based method is proposed in this paper for image segmentation. In thisapproach, a wavelet thresholding technique is initially applied on the image to reduce noise and toslightly smooth the image. This technique causes an image not to be oversegmented when the pixonbasedmethod is used. Indeed, the wavelet thresholding, as a pre-processing step, eliminates theunnecessary details...