Fish Liver&& Gills microscopic image as Biomarker for water guality

1. FISH LIVER AS BIOMARKER FOR
WATER QUALITY
Presented by:
Asmaa Hashem , Master student
Supervised by :
Dr Nashwa El-Bendary
prof Aboul Ella Hassanien

2. Scientific Research Group in Egypt
www.egyptscience.net

3. Content
2
1
Introduction
2
Problem definition && Objective
3
Proposed system model
4
Current Task

4. Introduction

The monitoring of water quality is a great challenge today. To
carry out chemical analysis continuously is complex and
expensive, and also provides limited data about the chemical
compounds which ignores the influence of those excluded in
the analysis.

Fish Liver observed microscopically showed increasing
degrees of damage in the tissues in correlation with the quality
of water. So we use the fish liver as a biomarker for water
quality.

5. Problem definition

Fish Liver and Gills as biomarker on water quality Based on
Microscopic Images

6. Objective

presents an image classification approach to automate the
process of assessing water quality by examining and
classifying different Fish liver histopathology.

7. The Proposed system Model
Input Microscopic gills image
Input Microscopic liver Image
Pre-processing Stage
Color- and Texture-Based
Image Enhancement
,segmentation,
The Morphological and
Logical operation
Feature Extraction Stage
Classification Stage
Testing Stage and detect
similar images
Result( water Quality or not)

8. The Proposed system Model
Phase 1. Pre-processing phase
Pre
Pre-Processing phase takes dataset as a image data input

Then ,the contrast enhancement is performed. Thus, contrast of a
microscopic image in a given Grey level texture descriptors model
the spatial relationship of a pixel and its neighbors.

In pre-processing stage, the thresholding is performed to
microscopic images. The threshold value must be selected
appropriate to image. If the threshold value is well selected,
threshold will yield good visualization and increase the accuracy
and efficiency of the subsequent processing.

9. The Proposed system Model
Phase 1. Pre-processing phase
Pre
In pre-processing stage, used to extract the Shape
vector.
The
Morphological
operations
Feature
produce an output
image in which each pixel is based on the comparison of the
input image and its neighborhood

Morphological operations on query image are two type:


The Dilation operation adds pixels to the boundaries of the objects
the Erosion operation removes pixels from the object boundaries.

10. The Proposed system Model cont…
Phase 2:Feature extraction stage: In this stage, we use the
method derives a set of
functions that make use of the
central moments of pre-processed image for characterize the
shape of each image . The output of these is independent of
any translation, rotation or mirror image
Phase 3 Classification stage: In this stage is used for
classification of features extracted feature extraction stage.
For this aim, a database was constructed from The training

11. The Proposed system Model cont…
Phase 4 Testing stage: In testing stage, the rest of the database
was used for testing of the proposed system based
classification of fish microscopic images.

12. Current Task

Analysis of the collected data . And preparing this
data for processing

13. Thank you