Image-processing-based atmospheric river tracking method version 1 (IPART-1)

1 Image Processing

The goal of image processing is to robustly extract useful, high-level information from images and video. The type of high-level information that is useful depends on the application. Examples of applications include object detection and tracking for surveillance, defect detection for automated production systems, and scene classification for remote sensing and map annotation. Extracting high-l...

1 Dna Microarray Image Processing

Microarray data processing spans a large number of research themes starting from (1) microarray image analysis, (2) data cleaning and pre-processing, semantic integration of heterogeneous, distributed bio-medical databases, (3) exploration of existing data mining tools for bio-data analysis, and (4) development of advanced, effective, and scalable data mining methods in bio-data analysis [9]. T...

Graphics, and Image Processing, 44(1):1–29, 1988.

Arbitrary topology shape reconstruction from planar cross sections. of irregular meshes using diffusion and curvature flow. In SIGGRAPH '99: Proceedings of the 26th annual conference on Computer graphics and interactive techniques, pages 317–324, 1999.

Applications 1 ECE 438 - Laboratory 10 : Image Processing ( Week 1 )

This is the first part of a two week experiment in image processing. During this week, we will cover the fundamentals of digital monochrome images, intensity histograms, pointwise transformations, gamma correction, and image enhancement based on filtering. In the second week , we will cover some fundamental concepts of color images. This will include a brief description on how humans perceive c...

Contents 1 Fundamentals of Biomedical Image Processing