Сonclusion of Color Recognition and Segmentation using Fuzzy Logic Human Based approach for color deficiencies people. Essay

The system has an option where user able to change the desired input to select. As for the experiment, 5 input were tested. 20 inputs also have been tested but it will cramp the image with text and will overlapping the text. Suggestion if to use maximum 5-10 input, if more than that can apply the segmentation by color class and use recognition to determine the exact color name with it exact shades and range.
The software development of the color segmentation and recognition were fully tested with various color images ranging from all type of color from generated computer image and capture image. Analyzing the Hue, Saturation and Value of each selected input had been analyze to evaluate each of the membership function and the firing rules related to the desired output were accurate in recognizing and segmenting color which is near to human way of perceiving color. This gives a new experience for the color deficiencies people in term of giving exposure of the existing of color in real life
This chapter discusses the conclusion of Color Recognition and Segmentation using Fuzzy Logic Human Based approach for color deficiencies people. Future recommendations were discussed in this chapter to assist not just to color deficiencies people but also for people with poor eyesight especially elderly people and other application that involving color recognition and segmentation. Basically, the recommendations are inspired by project limitations and academic panels and supervisor.
The difficulties in everyday life encounter by color deficiencies people have been studied in this project. It shows that color image processing is an essential part of everyday life. As we can see, this technique is involving a large number of applications in variety field. Color recognition and segmentation using color image processing technique by using the advantages of Artificial Intelligent advantages is successfully develop and tested.
An experiment with various lighting condition of the color image was performed to test the functionality and accuracy of the Fuzzy Logic Human Based Perception Approach Color Segmentation and Recognition application. The experiment was conducted in MATLAB to show the accuracy by the given color names to observe the output accuracy.
The results showed that the device could recognize various color within shades and range. Even the capture imaged were affected by the lighting condition, it shows correct color shades that had been discussed in
For color segmentation, able to segment the color images according to the Hue fuzzy logic data sets according to the color group assigned. Saturation and Value information are not important for segmentation, so it is not required to filter out or segmented the color the shades and range. All of the shades or shadow or tint or range of the color were keep in the image so that the range of Hue will process on determining the color group of given image. Results show the segmented image and boundary which also can determine the shape of the object (this can also be call edge detection) due to the color region classification.