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Tracking and Analysis of Football Match using Image Processing Techniques
Published in Purna Chandra Mishra, Muhamad Mat Noor, Anh Tuan Hoang, Advances in Mechanical and Industrial Engineering, 2022
R. Seetharaman, Andrew Juan Priyan Prince, S. Saiprashanth
Morphological operation is done in order to remove the unwanted objects from the image. They are generally used for binary images, as they depend on the pixel values, a trait which makes it feasible for the grey scale images as well. The structuring element plays a crucial role in morphological processing. The structuring element can be defined as a small matrix of values (either zero or one) in which the matrix dimensions specify the size of the structuring element, the different patterns of ones and zeros define its shape and a pixel called the origin, is also defined. Some operations check whether the structuring element “hits” or “fits” with the neighbouring pixels by checking whether they intersect with the pixels or not. Morphological operations include erosion and dilation.
An Overview of High-Performance Computing Techniques Applied to Image Processing
Published in Sandeep Saini, Kusum Lata, G.R. Sinha, VLSI and Hardware Implementations Using Modern Machine Learning Methods, 2021
Giulliano Paes Carnielli, Rangel Arthur, Ana Carolina Borges Monteiro, Reinaldo Padilha Franca, Yuzo Iano
The experiment showed some interesting aspects, such as the fact that the method of extracting characteristics is very efficient when the size of the ROI is relatively small. The speedup in the total processing time (for computing in simple precision) varied between 26 and 103 times. The work also concluded that this acceleration was limited, in large part by operations of memory allocation and data transfer between CPU and GPU [26–28].Case Study 2: Still related to the use of GPUs, to accelerate image processing techniques, Saxena et al. [29] propose a parallel implementation for the morphological algorithm vHGW (van Herk/Gill-Werman), considered one of the fastest for serial processing in CPU. Morphological operators (e.g. erosion, dilation, opening) are used in the extraction of components from images, used for representation and description of regions and shapes, through the application of a structuring element on the image.
Lower-Level Image Analysis
Published in Jiří Jan, Medical Image Processing, Reconstruction and Analysis, 2019
Erosion removes some of the object noise, small objects, and protrusions, while dilation is used to filter out the background noise, small holes, and gaps. The usually undesirable side effect of both operations is the change of size of the objects. The dilation is partly complementary to erosion, in the sense that it restores approximately the original size of objects diminished by erosion, when the same mask (structuring element) is used in both successive operations, though transposed in the second operation with respect to the first. Similarly, the cascade of dilation-erosion also restores basically the original shapes and sizes of greater objects. These two combined operations are therefore most often used in morphological image filtering. Thanks to the nonlinearity of both, the objects (or holes) that have been removed in the first phase of processing will not reappear after the second shape-restoring phase. The filtering effect is thus preserved without substantially influencing the useful objects. These conclusions apply to the gray-scale images as well.
Investigation on dual-domain data processing algorithm used in thermal non-destructive evaluation
Published in Quantitative InfraRed Thermography Journal, 2022
Slawomir Grys, Sebastian Dudzik
The fundamental concept used in mathematical morphology is a structuring element [31]. Morphological operators such as dilation or erosion, boil down to simple arithmetic operations carried out on pixels of the original image and the pixels of the structuring element. Morphological operators such as dilation or erosion, boil down to simple arithmetic operations carried out on pixels of the original image and the pixels of the structuring element [31,32]. As a result of these operations an output image is created. In this image, the specific shape features are transformed. The structuring element is simply an image which plays a role of the ‘mask of morphological filter’, wherein it is possible to use structuring elements of various shapes and sizes. Exemplary binary structuring elements are presented in Figures 2, 3.
Deep learning-based instance segmentation of cracks from shield tunnel lining images
Published in Structure and Infrastructure Engineering, 2022
Hongwei Huang, Shuai Zhao, Dongming Zhang, Jiayao Chen
The morphological closing operation is defined as a dilation operation followed by an erosion operation for binary images using the same structuring element for both operations (Raid, Khedr, El-Dosuky, & Aoud, 2014). A structuring element is a kernel with a set of coordinate points, and it can be cross, rectangle, or ellipse structure. The structure can be also customized and determines exactly how the objects will be eroded or dilated (Gil & Kimmel, 2002). Disjoint cracks can be connected in dilation operation using a proper structuring element, but the boundaries of cracks are also expanded. The expanded boundaries are eroded in the followed erosion operation using the same structuring element. Therefore, the disjoint cracks are connected through the morphological closing operation. Figure 13 illustrates how the disjoint cracks are connected using the morphological closing operation.
Automatic building rooftop extraction using a digital surface model derived from aerial stereo images
Published in Journal of Spatial Science, 2022
Bin Wu, Siyuan Wu, Yong Li, Jianping Wu, Yan Huang, Zuoqi Chen, Bailang Yu
Moreover, three morphological operational types are applied to trim the building rooftops. A filling operation is applied to fill the internal holes which satisfies two conditions: (1) the average height of the hole is smaller than the height of a one-story house () and (2) the hole is covered with vegetation. Then, closing and opening operations are used to smooth the rough boundaries. A closing operation can be defined as the dilation of a region by a structuring element followed by an erosion using the same structuring element. This operation joins neighbouring regions such as those ragged edges found at the borders of large building rooftops. While, an opening is defined as an erosion followed by a dilation using the same structuring element for both operations. The result of the opening operator is that small regions of size equal to or smaller than the structuring element are removed. In our study, the structuring elements are 5 by 5 masks.