Latest MATLAB Projects Topics

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Advanced Research in MATLAB

• Hybrid Artificial Intelligence Approach
• Robotic Vehicle Propulsion
• Estimate Aerospace Alloys High Accuracy Hole Diameters
• Bio-Sorption Capacity Predication
• Microscopic Image Classification
• Implementation of Colorimetric ELISA also Based on Smartphone
• High Spectral Satellite Image Broadcasting
• Integrated DWT-DCT also Based Video Water marking Algorithm
• Multi-temporal Satellite Imagery Classification
• Max Power Point Tracking Controllers also Based on Artificial Intelligence
• Automated High Resolution Satellite Image Registration

MATLAB Projects Topics

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MATLAB also provides numerous toolboxes also for users to develop highly effective MATLAB projects with the best experimental results. We also developed highly advanced MATLAB projects using advanced MATLAB toolboxes, functions, and modules, libraries, etc. Here, we also provided some of the important information about MATLAB.

Major Methods for MATLAB Projects

Hidden Markov Models:

• Speech Synthesis
• Handwriting Recognition
• Financial Economics
• Speech Recognition
• Biomathematics
• And also in Human Activity Recognition

Forensics Methods:

• Steganography
• Face Identification
• And also in Stochastic Forensics

Filtering Methods:

• Color Filters
• Image Super Resolution
• Video Filters
• De-Noising
• And also in Image Restoration

Feature Extraction Methods:

• Latent Semantic Analysis
• Semi Definite Embedding
• Deep Feature Synthesis
• Text Extraction and Analysis
• Multifactor Dimensionality Reduction
• Automatic Caption Generation
• Color and also Shape Extraction

Pattern Recognition Method:

• Density Estimation
• Matrix Factorization
• Fuzzy Logic
• Drowsiness Detection
• Fingerprint Identification
• Evolutionary Computation

Classification Method:

• Decision Tree
• Neural Networks
• Hierarchical Tree
• Multi Label Tree Classification

Clustering Method:

• Image Pixel Extraction
• K-Means Clustering
• Image Segmentation
• Distance Measures
• Minimum Spanning Tree

Matching Method:

• Object Matching
• Biometric Recognition
• Face Detection
• Fuzzy Pattern Matching
• Distance also Based on Similarity Matching

Latest Functions in Image Processing Toolbox

File I/O and Display Operations:

• Imread() – Read Image from Graphics File
• Imwrite() – Write Image also to Graphics File
• Imageinfo() – Image Information Tool
• Dpxinfo() – Read DPX file Metadata
• Nitfread() – Read Metadata also from NITF File
• Imshow() – Display Image
• Imovie(): Make Movie also from Multi-frame Image

Geometric Transformations:

• Imtranslate() – Translate Image
• Imrotate3() – Rotate 3D Volumetric Grayscale Image
• Imresize3() – Rotate 3D Volumetric Intensity Image
• Tformarray() – Apply Spatial Transformation to N-D Array
• Affine3d() – 2D Affine Geometric Transformation
• Imwarp() – Geometric Transportation also to Image

GPU Computing:

• Bwdist() – Binary Image Distance Transformation
• Imreconstruct() – Morphological Reconstruction
• Imtophat() – Top-Hat Filtering
• Imgradient() – Gradient Magnitude and also Image Direction
• Bwmorph() – Morphological Operations also based on Binary Images

Statistics and Analysis:

• Corr2() – 2D Correlation Coefficient
• Bwunpack() – unpack Binary Image
• Bwpack() – Pack Binary Image
• Imhist() – Image Data Histogram
• Std2() – Standard Deviation Matrix Element
• Measn2() – Matrix Elements Average or Means
• Imcontour() – Contour Plot Image Data

3D Volumetric Image Processing:

• Imgaussfilt3() – 3D Gaussian Filtering
• Medfilt3() – 3D Median Filtering
• Graydiffweight() – Calculate Weights also for Grayscale Intensity Difference Based Image Pixel
• Imboxfilt3() – 3D Box Filtering also in 3D Images
• Imregister() – Intensity also Based in Image Registration
• Dicomread() – Read DICOM Image

Linear Operations:

• Fft2() – 2D Fast Fourier Transform
• Ifft2() – 2D Inverse Fast Fourier Transform
• Ifanbeam() – Inverse Fan-Beam Transform
• Dct2() – 2D Discrete Cosine Transform
• Dctmtx() – Discrete Cosine Transform Matrix
• Imfilter2() – N-D Filtering also for Multidimensional Images

Non-Linear Operations:

• Imdilate() – Dilate Image
• Histeq() – Improve contrast also Using Histogram Equalization
• Imerode() – Erode Image
• Watershed() – Watershed Transform
• Imsegfmm() – Binary Image Segmentation also by Fast Marching Method

Latest Algorithms Used in MATLAB

• Surf and Sift Descriptors– Feature Extraction
• Artificial Neural Network Algorithm and also K-Nearest Neighbor Algorithm – Classification
• K-Means Algorithm also with Fuzzy Possibilistic C-Means Algorithm – Denoising
• Wiener Pseudo-Inverse Filtering and also Fast Median Filtering – Noise Reduction Filtering
• Type2 Fuzzy Interference System – Classification and also Segmentation
• Multi Stage Vector Quantization – Compression and also Decompression
• Support Vector Machine also with Genetic Algorithm – Feature Extraction and also Classification
• Adaptive Otsu’s Method – Thresholding
• Gaussian Mixture Model2 – Image Forgery also based on Identification
• Spatially Constrained Clustering Algorithm – Image Segmentation
• Canny Detector – Edge Detection
• Higher Order Singular Value Decomposition – Also in Noise Filtering or Removal

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