Image Reconstruction from Noisy Image

Topic: "Digital Image Processing"
Client: CarrierGuide15

Short Descp:

In this project, I was trying to reconstruct image from noisy one without losing much detail information in it. In Gonzalez amazing book, they provide a method named Backprojection to reconstruct image. What I did is to implement this method and design new scheme to raise result. In this project, I uses Radon + Hamming as an improvement scheme.

Face Recognition in Various Dark Light and Dim light Conditions

Topic: "digital image processing"
Client: Mr. Saurabh Parmar

Short Descp:

What I dealt on this project was to design quite good system to recognize faces under dark and dim light condition. Until now, light condition around objects (faces) to recognize is still an open problem. Many scientist is still observing better way to resolve it. This is a master thesis project. Accuracy and recognition speed are main issue to consider in the development. Improvement has to be developed based on the two base papers. So, the idea is not too choose or design new method for feature extraction and recognition, but more to design scheme for pre-processing steps. When we are dealing

Calculate Number of Potatoes (Yellowish Object) in Digital Images

Topic: "Digital Image Processing"
Client: CarrierGuide15

Short Desc:
This is an easy and simple project to localize and calculate number of potatoes in image(s) automatically. All aspects need to be considered before designing appropriate method. This is unfiltered natural image taken in uncontrolled circumstances, we can image how unpredictable was the brightness and contrast present in whole part of images. So, I designed which best method to overcome this problem. Result and image data set are depicted by figures below.

Content Based Image Retrieval (CBIR) of Natural Images

Topic: "Digital Image Processing"
Client: Mrs. Sheila

Brief Exp:

This project was intended to retrieve image(s) from large image database based on its content. Features extraction was developed based on 2-D level-1 wavelet filtering toward image texture and colors. Training was developed based on ensemble training to multi layer neural network. This kind of training method is new for me and quite interesting to explore. I found that its quite good to be implemented to other cases. Result shows that feature extracted for this project could fetch similar images based on one image as an input. Could be used as basis to next development as well as adding improvement to it.

Histogram Equalization Transform Applied to Various Type of Contrast

Topik: Digital Image Processing
Client:
Mr. Enas

This project was intended to apply certain histogram equalization method to enhance various contrast type in digital images.

Screenshots:

Wells Temperature Location Detection

Topic: Digital Image Processing
Team:
Jans Hendry

This application was intended to develop a program to detect wells location. These well indicate temperature value. Wells have circle shape so by detecting the circle, we can segment the image to get only wells with temperature.

Canny Edge Detector Improvement

Topic: Digital Image Processing
Client:
asermohamed

This project was intended to develop a canny improvement algorithm by involving positive and negative left diagonal and extend complexity time become 2N^2. Canny itself has N^2 complexity time.

Contrast Image Enhancement on Low Light Using Opening by Reconstruction

Topic: Digital Image Processing
Client: Careerguide15

Motivation: To enhance low light image contrast using morphological methods based on paper "Morphological Background Detection and Enhancement of Images With Poor Lighting"

WEBCAM Based DIY Laser Rangefinder

Topic: WEBCAM Based DIY Laser Rangefinder
Team:
Mr. Atul Yadav
Jans Hendry

Note: This program is intended to measure distance of object from camera using WEBCAM and Laser Pointer. Final task is to measure size of an object such as human height and other object.

Offline Signature Identification Using ANN-BP

Theme : Digital Image Processing
Topic: Offline Signature Identification Using ANN-BP
Team:
Barry Caesar Oktariyadi
Jans Hendry

Zeiss LSM Z-Stack Image File Reader with Advanced Control

Field : "Digital Image Processing"

Team: 
Christopher (Afraxis Inc.-Director of Neurobiology - https://www.e*****.com/e/crex0207/)
Jans Hendry

Description: This program will read stack of Zeiss LSM Image file just like TIFF format stack. By using this program, one could do simple editing for further process, sucs as cropping certain indice and manipulate it.

More about Zeiss LSM Z-Stack: http://en.wikipedia.org/wiki/LSM_(Zeiss)

Zeiss LSM Z-Stack Image File Reader

Field : "Digital Image Processing"

Team: 
Christopher (Afraxis Inc.-Director of Neurobiology - https://www.e*****.com/e/crex0207/)
Jans Hendry

Description: This program will read stack of Zeiss LSM Image file just like TIFF format stack. By using this program, one could do simple editing for further process, sucs as cropping certain indice and manipulate it.

Pembacaan Barcode EAN-13 Berdasarkan Citra Digital Barcode

Judul: Pembacaan Barcode EAN-13 Berdasarkan Citra Digital Barcode
Topik: Pengolahan Citra Digital
Team:
Salman Ali Aji
Jans Hendry
Keterangan:
Projek ini bertujuan untuk membaca barcode EAN-13 dari beberapa jenis produk yang diambil menggunakan kamera biasa dengan beberapa keadaan seperti jarak yang jauh dan dekat, cahaya yang kurang dan cukup, ketajaman (fokus) kamera terhadap objek, kemiringan barcode yang dideteksi dan lainnya. Dicoba untuk membuat algoritma yang mampu melaksanakan tugas yang diberikan diantaranya: