An experiment set-up is used to study wall deposition rate of particles on a rough surface in a turbulent channel flow. Deposition velocities for three classes of particles, namely, spherical glass particles, irregular shape polymer particles, and fibrous silicon particles are studied. The particle concentration at the test section was measured with the aid of an isokinetic probe in conjunction...

this paper presents simplified hydrodynamics model for a biomimetic robot fish based on quantitative morphological and kinematic parameters of crangiform fish. the motion of four pangasius sanitwongsei with different length and swimming speed were recorded by the digital particle image velocimetry (dpiv) and image processing methods and optimal coefficients of the motion equations and appropria...

Several different image processing methods are described and discussed. Their applicability to the processing of images from digital radiography equipment is compared. The overall conclusion is that advanced image enhancement methods are beneficial and can improve detectability of flaws in digital radiography images, but that these enhancement methods have to be used carefully, especially in ca...

Rice crop height is an important agronomic trait linked to plant type and yield potential. This research developed an automatic image processing technique to detect rice crop height based on images taken by a digital camera attached to a field server. The camera acquires rice paddy images daily at a consistent time of day. The images include the rice plants and a marker bar used to provide a he...

Any digital image can be represented mathematically in matrix form. The number of lines in the matrix is the number of lines of the digital image (also called image height), whereas the number of columns in the matrix is the number of columns in the digital image (also called image width). In the following we will consider the simplest case, i.e., the case of grey scale image processing; in tha...

Digital image processing is collection of techniques for the manipulation of digital images by computer and its applications. This collection of methods in remote sensing is dominantly treated as Satellite Digital Image Processing (SDIP). A spaceborne Multispectral Image Processing System (MIPS) has been used since 1960 as a traditional satellite image processing system for data analysis and ex...

Learn about state-of-the-art digital image processing without the complicated math and programming You don t have to be a preeminent computer scientist or engineer to get the most out of today s digital image processing...

Every digital image processing system can be represented by a block diagram containing three main elements. Image processing started with the input of an image in the processing system. The integrated software within the chip handles the task. Again it can be further processed based on the need. But the application of the processing method or algorithm depends on how the image is inputted, and ...

Image segmentation commonly known as partitioning of an image is one of the intrinsic parts of any image processing technique. In this image processing step, the digital image of choice is segregated into sets of pixels on the basis of some predefined and preselected measures or standards. There have been presented many algorithms for segmenting a digital image. This paper presents a general re...