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morphological classification of blood leucocytes by microscope images

Morphological classification of blood leucocytes by microsco...

引用

IEEE International conference on Computational Intelligence for Measurement Systems and Applications

作者： Piuri, v Scotti, F Univ Milan Dept Informat Technol I-26013 Crema Italy

ISBN: (纸本)0780383419

The classification and the count of white blood cells in microscopy images allows the in vivo assessment of a wide range of important hematic pathologies (i.e., from presence of infections to leukemia). Nowadays, the morphological cell classification is typically made by experienced operators. Such a procedure presents undesirable drawbacks: slowness and it presents a not standardized accuracy since it depends on the operator's capabilities and tiredness. Only few attempts of partial/full automated systems based on image-processing systems are present in literature and they are still at prototype stage. This paper presents a methodology to achieve an automated detection and classification of leucocytes by microscope color images. The proposed system firstly individuates in the blood image the leucocytes from the others blood cells, then it extracts morphological indexes and finally it classifies the leucocytes by a neural classifier in Basophil, Eosinophil, Lympocyte, Monocyte and Neutrophil.

关键词： automatic cell classification morphological analysis classifiers leucocytes identification image processing

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Performance Evaluation of Digital image processing and Artificial Neural Networks for Weld Line Detection of Robotic Manipulator 9

Performance Evaluation of Digital Image Processing and Artif...

引用

9th IEEE-GCC conference and Exhibition (GCCCE)

作者： Fernandes, Lauren Alisha Saraiya, Aaditya Kalaichelvi, v. Karthikeyan, R. BITS Pilani Dept Elect & Elect Engn Dubai Campus Dubai U Arab Emirates BITS Pilani Dept Mech Engn Dubai Campus Dubai U Arab Emirates

ISBN: (纸本)9781538627563

Robotic manipulators are used in industries for several purposes, with one of the purposes being welding. The objective of this paper is to automate the welding process by automating the task of weld line detection. A comparative evaluation between digital image processing technique and artificial neural networks to detect the center line of the weld piece has been analyzed. In the image processing technique, the image has been acquired and image pre-processing has been done in the form of RGB Thresholding, filtering, Binary thresholding, and morphological transformations to attain the center line. In utilizing artificial neural networks, a database of images for training and testing have been fed into the network with different training algorithms as well as different training ratios and learning rate, and the performance criteria of mean square error has been evaluated.

关键词： Thresholding morphological transformations learning rate training testing validation Levenherg-Marquardt Scaled Conjugate Gradient

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A ROBUST morphological GRADIENT ESTIMATOR AND EDGE DETECTOR FOR COLOR imageS

A ROBUST MORPHOLOGICAL GRADIENT ESTIMATOR AND EDGE DETECTOR ...

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2010 IEEE International conference on Acoustics, Speech, and Signal processing

作者： Nezhadarya, Ehsan Ward, Rabab K. Univ British Columbia Dept Elect & Comp Engn Vancouver BC V5Z 1M9 Canada

ISBN: (纸本)9781424442966

A new vector-wise scheme for the gradient estimation and edge detection in noisy color images is proposed. In color images, different types of noise may corrupt the image. To reduce the effects of noise in the gradient estimation, we introduce the RCMG-Median-Mean estimator. RCMG-Median-Mean is a combination of the robust color morphological gradient (RCMG), the median and the mean filters to accurately estimate both the gradient magnitude and the gradient direction at each pixel of a noisy color image. The simulation results show that the proposed method more accurately estimates the true gradient vector, has better corner detection and leads to better continuous edges with less computational complexity than the RCMG method.

关键词： Color image processing Gradient estimation Edge detection morphological operations

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Realization of the FPGA-based reconfigurable computing environment by the example of morphological processing of a grayscale image 2

Realization of the FPGA-based reconfigurable computing envir...

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2nd International conference on Cognitive Robotics

作者： Shatravin, v. Shashev, D. v. Natl Res Tomsk State Univ Tomsk Russia

Currently, robots are increasingly being used in every industry. One of the most high-tech areas is creation of completely autonomous robotic devices including vehicles. The results of various global research prove the efficiency of vision systems in autonomous robotic devices. However, the use of these systems is limited because of the computational and energy resources available in the robot device. The paper describes the results of applying the original approach for image processing on reconfigurable computing environments by the example of morphological operations over grayscale images. This approach is prospective for realizing complex image processing algorithms and real-time image analysis in autonomous robotic devices.

关键词： Energy resources

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Composite morphological filters in multiresolution morphological decomposition

Composite morphological filters in multiresolution morpholog...

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Proceedings of the 5th International conference on image processing and its Applications

作者： Li, Wei Haese-Coat, v. Inst Natl des Sciences Appliquees de Rennes France

morphological filters provide a very useful theoretical and practical tool for shape or size oriented image processing. According to definition of increase and idempotence, the well known morphological filters are opening, closing, opening, close-opening and their alternating series such as alternating sequential filters. In this article, four new kinds of morphological filters called composite morphological filters (CMFs) formed by the combination of opening and closing with image component itself are presented. Part of the CMFs in MMD procedure are used to get image components according to texture size distributions. Finally, an attempt is made to classify different textures using a feature taken from decomposed images by CMFs.

关键词： image analysis

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Structurally orthogonal finite precision FPGA implementation of block-lifting-based quaternionic paraunitary filter banks for L2L image coding 22

Structurally orthogonal finite precision FPGA implementation...

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2017 22nd International conference on Digital Signal processing (DSP)

作者： Petrovsky, Nick A. Rybenkov, Eugene v. Petrovsky, Alexander A. Belarusian State Univ Informat & Radioelect Dept Comp Engn Minsk BELARUS

ISBN: (纸本)9781538618950

This paper presents a systematic design of the integer-to-integer invertible quaternionic multiplier based on the block-lifting structure and pipelined embedded processor of the given multiplier using distributed arithmetic (DA) as a block of M-band linear phase paraunitary filter banks (LP PUFB) based on the quaternionic algebra (Q-PUFB). A bank Q-PUFB based on the DA block-lifting structure reduces the number of rounding operations and has a regular layout, and can be implemented on the FPGA-based devices as integer-to-integer transform. Compared to general-purpose Q-PUFB obtained using lifting factorization, it needs less lifting steps and the given DA-based Q-PUFBs have less number of rounding operations and this property is useful for the lossless-to-lossy (L2L) image coding. Furthermore our DA-based 8-channel LP Q-PUFBs presented superior coding results on the PSNR than the corresponding filter banks, especially for image with relatively strong highpass components.

关键词： Quaternions image coding algebra Transforms Transform coding Clocks Field programmable gate arrays

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Quantitative evaluation of detail-preserving and noise-removal abilities of morphological filters

Quantitative evaluation of detail-preserving and noise-remov...

引用

Proceedings of the 1995 IEEE International conference on image processing. Part 3 (of 3)

作者： Li, W. Haese-Coat, v. Ronsin, J. INSA Rennes France

In this paper, a quantitative evaluation methodology for morphological filters is presented. The goal of this evaluation scheme is to measure simultaneously the ability of morphological filters in edge sharpness preservation and noise suppression. A general morphological gradient criterion is proposed to divide an image into a series of regions according to its local spatial activity levels. The local mean-square-error (MSE) and local mean-absolute-error (MAE) are used to verify and compare performances of different tested filters. Several efficient and simple structured detail-preserving and noise-removal morphological filters are proposed and tested on simulated images by this scheme to prove its efficiency. For real image processing procedures, a combined filter structure is proposed to improve filter results.

关键词： Digital filters

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Identifying Exudates from Diabetic Retinopathy images

Identifying Exudates from Diabetic Retinopathy Images

引用

International conference on Advanced Communication Control and Computing Technologies (ICACCCT)

作者： Sindhura, A. Kumar, S. Deva Sajja, v. Ramakrishna Rao, N. Gnaneswara VFSTR Univ Comp Sci & Engn Dept Hyderabad Andhra Pradesh India

ISBN: (纸本)9781467395458

Diabetic Retinopathy (DR) is the problem for long-standing diabetes and the major cause for visual loss is because of variations in blood vessels of the retina. vision loss is due to DR is preventable with regular checkups at the earlier stages. The presence of exudates is the basic signs of DR. Hence, exudates detection becomes a major problem-solving task, in which retinal images plays a vital role. In this paper, a technique is proposed depending on morphological closing operations which are in image processing is used to identify exudates from retinal image. At the starting phase, the retinal image must be preprocessed, where at first the image which is in RGB color format is altered to the image of HSI color format and on Intensity-band of HSI color format average filter is performed to reduce noise and subsequently contrast-limited adaptive histogram equalization is performed to normalize the image. In subsequent phase, exudates are identified using morphological closing operation and then Nilblack's thresholding is applied. On comparing the results, the proposed technique got better performance than the existing technique.

关键词： image processing image Segmentation Diabetic Retinopathy HSI image Average Filter Histogram Equalization morphological Closing Operation Nilblack's Thresholding Method

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A Robust Human Face Detection Algorithm

A Robust Human Face Detection Algorithm

引用

4th International conference on Machine vision (ICMv) - Machine vision, image processing and Pattern Analysis

作者： Raviteja, Thaluru Karanam, Srikrishna Yeduguru, Dinesh Reddy v. Natl Inst Technol Warangal Andhra Pradesh India

ISBN: (纸本)9780819490254

Human face detection plays a vital role in many applications like video surveillance, managing a face image database, human computer interface among others. This paper proposes a robust algorithm for face detection in still color images that works well even in a crowded environment. The algorithm uses conjunction of skin color histogram, morphological processing and geometrical analysis for detecting human faces. To reinforce the accuracy of face detection, we further identify mouth and eye regions to establish the presence/absence of face in a particular region of interest.

关键词： Face Detection Connected Component Labeling morphological processing Geometrical Analysis Mouth and Eye detection

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Combinatoric digital geometry and image processing

Combinatoric digital geometry and image processing

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conference on vision Geometry v

作者： Bretto, A Cherifi, H Laget, B URA 842 LAB TRAITEMENT SIGNAL & INSTRUMENTAT EQUIPE INGN VIS F-42007 ST ETIENNE 1 FRANCE

ISBN: (纸本)0819422142

This paper introduces a combinatoric approach in digital geometry. This mathematical tool allows to establish a connection between algebra and geometry in digital geometry. Some development in hypergraphs, matroid and antimatroid are presented. Such concepts provide a sound mathematical basis for digital geometry objects such as graphs, convexity and algebra. Some applications in image processing are included in this paper.

关键词： digital geometry combinatoric graph neighborhood hypergraph Helly property convex geometries Galois function

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