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computervisionprojects

Small assignments I worked on for my computer vision class. I used python to implement the theory we learned in class such as Image filtering, Object detection, Texture synthesis and Template matching

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discrete-wavelet-transform-2d

dwt for tensorflow 二维离散小波变换与反变换 2019-12-9

exacto

A tool to do foreground extraction of images

extended-lbp-fer

experimenting with different LBP operators for Facial Emotion Recognition

face-detection-using-dwt

This program detects if the input face-image is present in a group of images in a directory. The feature extraction is done using Discrete Wavelet Transform, and the ORL faces are used as database.

feature-extraction-and-matching-on-images-detercted-by-object-detection-models-

Perform feature extraction and feature matching on images which are extracted using Object Detection models.(dress images in this case) using SIFT,SURF,BRIEF,HISTOGRAM,LBP algorithms. This is completed during my Practice School-1.

fitrinurafia

identifikasi motif batik banyuwangi

glcm

python-glcm-image

glcm-1

Fast Gray-Level Co-Occurrence Matrix by numpy

gray-level-cooccurrence-matrix

Gray Level Co-occurrence Matrix (GLCM) with python library

image-compression-dwt

Compression of images using Discrete Wavelet Transform in Python

image-discrete-wavelet-transform

image-emotional-analysis

image_feature_extraction

Image feature extraction using local binary patterns and color moments. Similarity measure for image ranking(of similar images to given image) using chi-squared distance(for LBP) and average euclidean(for CM).

knn-from-scratch

Building KNN algorithm from scratch in python

knn-implementations-python

Implementasi algoritma kNN dengan Python

lbp

获取图像的LBP特征

leaf-disease-detection

Detection of various leaf diseases using GLCM features and Gradient Boosting Classifier

localbinarypattern

Calculates Median robust extended local binary pattern (MRELBP) or local binary pattern (LBP) from images.

mahotas

Computer Vision in Python

object-detection-opencv

Object detection (YOLO, SSD, Faster R-CNN) with OpenCV and Python.

performance-evaluation-of-feature-extraction-technique-for-facial-analysis

Performance of Local Binary Pattern is evaluated on images with makeup and without makeup and using LBP as feature extractor we will classify the images based on 6 facial expressions.

python-image-feature-extraction

Python实现提取图像的纹理、颜色特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。

python_glcmfeature

This .py file describe how to use GLCM (Gray level co-occurrence matrix) to analyze texture information of an image

pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

tamon

tamon

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