Topic
Structuring element
About: Structuring element is a research topic. Over the lifetime, 997 publications have been published within this topic receiving 26839 citations.
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07 Mar 2019TL;DR: This paper presents an attempt made to recognize characters from English alphabets and numbers by first segmenting them using bounding box and then recognizing each character individually.
Abstract: This paper presents an attempt made to recognize characters from English alphabets and numbers by first segmenting them using bounding box and then recognizing each character individually. Each character data set contains 26 alphabets. For connected characters morphological operations are used that process the image based on shapes. The input image is processed using morphological operations by applying a structuring element and creating an output image of the same size. For the purpose of character recognition template matching technique is used. The proposed system shows good recognition rates as compared to other similar schemes for character segmentation and recognition.
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17 Aug 2011TL;DR: This paper details how this can be achieved with simulated hardware using DSP Builder in Matlab with the intention of migrating the design to HDL and implemented on an FPGA (Field Programmable Gate Array).
Abstract: When performing image operations involving Structuring Element (SE) and many transforms it is required that the outside of the image be padded with zeros or ones depending on the operation. This paper details how this can be achieved with simulated hardware using DSP Builder in Matlab with the intention of migrating the design to HDL (Hardware Description Language) and implemented on an FPGA (Field Programmable Gate Array). The design takes few resources and does not require extra memory to account for the change in size of the output image.
01 Jan 1988
TL;DR: An automatic system that will automatically detect and count brain lesions known as senile plaque and demonstrates that the computer counts correlate well with the neuropathologist 's counts.
Abstract: One of the hallmarks of Alzhimer's diAease is the presence of a brain lesion known as a senile plaque (SP), which appears as a drcu lar cluster of small objects when viewed through the microscope. In order to quantitatively study their number and dildribution, we have developed an imlLge anftlysis system that will automatically detect and count these lesions. The morphological operation of closing can group a cluster of small objects into a. singular one, and thus allow detection of the SP. Since the optimal structuring element size for grouping the SP is different in each image, the Baysian decision making method is used to dynamically determine the size. A study comparing computer and human detection of SP was performed by evaluating 50 images from 5 di:ff erent patients. The results of this comparison demonstrate that the computer counts correlate well with the neuropathologist 's counts (correlation coefficie nt = .81).
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01 Jan 2022
01 Jan 2007
TL;DR: A modified morphological method with convex corner points structuring element is proposed in improving running efficiency and detecting accuracy, and the speed performance is improved in a large degree.
Abstract: Cornerdetection inimageprocessing playsanim- portant role inmatching, representation, recognition, registration, andcomputer vision. Asoneofthetemplate basedapproaches, themorphological detector hassomeproblems whicharestill underresearch, suchastheelement selection, highcomputation cost, andinaccurate representation ofdetected corners. Inthis paper, a modified morphological methodwithconvexcorner points structuring element isproposed inimproving running efficiency anddetecting accuracy. A new simple structuring element isusedinthedetector, andthespeedperformance is improved ina largedegree. Inexperiments, theperformance ofthenewdetector istested ona setofstandard images. Six other detectors areinvolved toprovide comparative performance information.